Comparison of MQTT and AMQP protocols with advantages and disadvantages of each and showcase of a proof of concept that combines the two for better reliability and efficiency.
This document discusses image segmentation techniques. It describes how segmentation partitions an image into meaningful regions based on discontinuities or similarities in pixel intensity. The key methods covered are thresholding, edge detection using gradient and Laplacian operators, and the Hough transform for global line detection. Adaptive thresholding is also introduced as a technique to handle uneven illumination.
Wireless sensor networks make use of sensor nodes distributed in a sensor node field. There are many factors that influence the sensor network design. Sensor networks have their own protocol stack aligned with the OSI model.
The document discusses WiFi architecture and technology. It covers the history and development of WiFi standards like 802.11b, 802.11a, and 802.11g. It explains how WiFi networks work using access points and wireless cards. The document also discusses WiFi configurations, applications, security measures, advantages, limitations and innovations in WiFi technology.
The document discusses the key elements of data communication, including:
1) Devices that exchange data via a transmission medium, such as computers.
2) The medium that allows devices to connect and exchange data, such as cables or wireless signals.
3) Messages in the form of data (zeros and ones) that travel over the medium.
4) Protocols that govern how messages flow across networks by establishing rules for communication.
Machine learning for wireless networks @Bestcom2016Merima Kulin
A tutorial on applying machine learning techniques for optimizing wireless networks. Topic include: (i) why and how to use data science in wireless network research; (ii) introduce a generic framework for applying data science in wireless networks; (iii) practical example that shows how to instantiate the framework using best practices.
This document provides an overview of Vehicular Ad-Hoc Networks (VANETs). It discusses how VANETs allow vehicle-to-vehicle and vehicle-to-infrastructure communication using technologies like Dedicated Short Range Communication. It describes the challenges of VANETs including routing delays and security issues. Finally, it outlines some of the safety, convenience and commercial applications that are possible with VANETs such as improved traffic management and navigation services.
SDN( Software Defined Network) and NFV(Network Function Virtualization) for I...Sagar Rai
Software, Software Defined Network, Network Function Virtualization, SDN, NFV, Internet of things, Basics of Internet of things, Network Basics, Virtualization, Limitation of Conventional Network, Open flow, Basics of conventional network,
In the seven-layer OSI model of computer networking, media access control (MAC) data communication protocol is a sublayer of the data link layer (layer 2). The MAC sublayer provides addressing and channel access control mechanisms that make it possible for several terminals or network nodes to communicate within a multiple access network that incorporates a shared medium, e.g. an Ethernet network. The hardware that implements the MAC is referred to as a media access controller.
The MAC sublayer acts as an interface between the logical link control (LLC) sublayer and the network's physical layer. The MAC layer emulates a full-duplex logical communication channel in a multi-point network. This channel may provide unicast, multicast or broadcast communication service.
1. The document discusses various image transforms including discrete cosine transform (DCT), discrete wavelet transform (DWT), and contourlet transform.
2. DCT transforms an image into frequency domain and organizes values based on human visual system importance. DWT analyzes images using wavelets of different scales and positions.
3. Contourlet transform is derived directly from discrete domain to capture smooth contours and edges at any orientation, decoupling multiscale and directional decompositions. It provides better efficiency than DWT for representing images.
This document discusses medium access control (MAC) protocols, which regulate access to a shared wireless medium between nodes. It covers key requirements for MAC protocols including throughput efficiency, fairness, and low overhead. It also describes challenges like the hidden terminal problem, exposed terminal problem, and sources of overhead from collisions, overhearing, and idle listening. Finally, it categorizes common MAC protocols as fixed assignment, demand assignment, and random access and notes additional energy conservation requirements for wireless sensor networks.
The document discusses the need for data analysis closer to IoT devices due to increasing data volumes, variety of connected objects, and efficiency needs. It outlines requirements like minimizing latency, conserving network bandwidth, and increasing local efficiency. It then describes challenges with IoT systems like limited bandwidth, high latency, unreliable backhaul links, high data volumes, and issues with analyzing all data in the cloud. The document introduces fog computing as a solution, noting its key characteristics include low latency processing near IoT endpoints, geographic distribution, deployment near large numbers of wireless IoT devices, and use for real-time interactions through preprocessing of data. Finally, it states that fog nodes are naturally located in network devices closest to IoT endpoints throughout a
This document discusses the Fourier transformation, including:
1) It defines continuous and discrete Fourier transformations and their properties such as separability, translation, periodicity, and convolution.
2) The fast Fourier transformation (FFT) improves the computational complexity of the discrete Fourier transformation from O(N^2) to O(NlogN).
3) FFT works by rewriting the DFT calculation in a way that exploits symmetry and reduces redundant computations.
A wireless sensor network has important applications such as remote environmental monitoring and target tracking, particularly in recent years with the help of sensors that are smaller, cheaper, and intelligent. Sensors are equipped with wireless interfaces with which they can communicate with one another to form a network. A WSN consists of a number of sensor nodes (few tens to thousands) working together to monitor a region to obtain data about the environment. The design of a WSN depends significantly on the application, and it must consider factors such as the environment, the applications design objectives, cost, hardware, and system constraints.
Current Activities in WSN: Developing test bed for target tracking Using Passive Infrared and Ultrasonic Sensors Improving the delivery rate in low power wireless networks .Guided Navigation of Friendly Vehicle towards tracked Object. Design and development of smart mines and explosive ordinance for intelligent activation and deactivation and safe recovery based on secure WSN. Design of a data mule for data collection from remotely placed sensor nodes
The course gives the thorough concepts of the wireless sensor networks, applications examples. It also gives detailed study of sensor node architecture and various protocols used in wireless sensor networks. It also covers issues related to topology, clustering ,synchronization and operating execution environment used for wireless sensor networks.
Transform coding is a lossy compression technique that converts data like images and videos into an alternate form that is more convenient for compression purposes. It does this through a transformation process followed by coding. The transformation removes redundancy from the data by converting pixels into coefficients, lowering the number of bits needed to store them. For example, an array of 4 pixels requiring 32 bits to store originally might only need 20 bits after transformation. Transform coding is generally used for natural data like audio and images, removes redundancy, lowers bandwidth, and can form images with fewer colors. JPEG is an example of transform coding.
“LTE-M” stands for Long Term Evolution for Machines. It is a low power wide area radio technology standard published by 3GPP in Release 13 that addresses the requirements of the IoT (Internet of Things). The technology provides improved both indoor and outdoor coverage, supports massive numbers of low throughput devices, low delay sensitivity, ultra-low device cost, low device power consumption and optimized network architecture.
Introduction to Network Function Virtualization (NFV)rjain51
Class lecture by Prof. Raj Jain on Introduction to Network Function Virtualization (NFV). The talk covers Four Innovations of NFV, Network Function Virtualization, NFV, Why We need NFV?, NFV and SDN Relationship, Mobile Network Functions, ETSI NFV ISG, NFV Specifications, NFV Architecture, NFV Concepts, Network Forwarding Graph, NFV Reference Points, NFV Framework Requirements, NFV Use Cases, NFV Proof of Concepts, PoCs, ETSI ISG Timeline, Introduction to, Four Innovations of NFV, Network Function Virtualization, NFV, Why We need NFV?, NFV and SDN Relationship, Mobile Network Functions, ETSI NFV ISG, NFV Specifications, NFV Architecture, NFV Concepts, Network Forwarding Graph, NFV Reference Points, NFV Framework Requirements, NFV Use Cases, NFV Proof of Concepts, PoCs, ETSI ISG Timeline. Video recording available in YouTube.
This document provides an introduction to image segmentation. It discusses how image segmentation partitions an image into meaningful regions based on measurements like greyscale, color, texture, depth, or motion. Segmentation is often an initial step in image understanding and has applications in identifying objects, guiding robots, and video compression. The document describes thresholding and clustering as two common segmentation techniques and provides examples of segmentation based on greyscale, texture, motion, depth, and optical flow. It also discusses region-growing, edge-based, and active contour model approaches to segmentation.
The document discusses Software-Defined Networking (SDN), defining it as an emerging architecture that is dynamic, manageable, cost-effective and adaptable. It describes SDN protocols like OpenFlow that give access to network switches. It outlines the key aspects of the SDN architecture including being directly programmable, centrally managed, programmatically configured, and open standards-based. It also lists several related open-source SDN projects and protocols involved in SDN like Open vSwitch, ONAP, DPDK, OpenDaylight, ONOS, and PNDA.
Image restoration and degradation modelAnupriyaDurai
This document discusses image restoration and degradation. It provides an overview of image restoration techniques which attempt to reverse degradation processes and restore lost image information. Several types of image degradation are described, including motion blur, noise, and misfocus. Common noise models are explained, such as Gaussian, salt and pepper, Erlang, exponential, and uniform noise. Methods for estimating degradation models from observed images are also summarized, including using image observations, experimental replication of degradation, and mathematical modeling.
Sensor Protocols for Information via Negotiation (SPIN)rajivagarwal23dei
Wireless sensor networks consist of large numbers of sensor nodes that monitor parameters and communicate wirelessly. The SPIN protocol family was developed to address the limitations of sensor nodes, particularly their limited energy, computation, and communication capabilities. SPIN uses meta-data negotiation and resource awareness to disseminate data between nodes more efficiently than flooding protocols. SPIN-1 is a simple three-stage handshake protocol that reduces energy costs. SPIN-2 builds upon SPIN-1 with an additional energy conservation heuristic to further prolong network lifetime. Evaluation shows SPIN consumes significantly less energy than flooding for data dissemination in wireless sensor networks.
This document discusses various approaches to improving TCP performance over mobile networks. It describes Indirect TCP, Snooping TCP, Mobile TCP, optimizations like fast retransmit/recovery and transmission freezing, and transaction-oriented TCP. Each approach is summarized in terms of its key mechanisms, advantages, and disadvantages. Overall, the document evaluates different ways TCP has been adapted to better support mobility and address challenges like frequent disconnections, packet losses during handovers, and high bit error rates over wireless links.
The document discusses MAC protocols for wireless sensor networks. It begins by outlining issues in designing MAC protocols for ad-hoc wireless networks, such as bandwidth efficiency, quality of service support, synchronization, and the error-prone shared wireless medium. It then describes the design goals of MAC protocols. The document classifies MAC protocols into three categories: contention-based protocols, contention-based protocols with reservation mechanisms, and contention-based protocols with scheduling mechanisms. Several examples are provided for each category, including MACA, FAMA, and RTMAC protocols.
General Packet Radio Service (GPRS) is a new bearer service for GSM that greatly improves and simplifies wireless access to packet data networks.General Packet Radio Service (GPRS) is a new bearer service for GSM that greatly improves and simplifies wireless access to packet data networks
GPRS applies packet radio principal to transfer user data packets in an efficient way b/w MS & external packet data network
GPRS applies packet radio principal to transfer user data packets in an efficient way b/w MS & external packet data network
This document discusses radio channels and interfaces in GSM networks. It covers topics like:
- The Um interface between the mobile station and base station subsystem.
- Processing of the voice signal from analog to digital conversion through encoding, interleaving and modulation for transmission.
- The different types of radio channels used including traffic channels, control channels, and their logical and physical combinations in bursts and frames.
- Technologies used for efficient transmission like frequency hopping, discontinuous transmission, and power control.
Sharpening using frequency Domain Filterarulraj121
This document discusses frequency domain filtering for image sharpening. It begins by explaining the difference between spatial and frequency domain image enhancement techniques. It then describes the basic steps for filtering in the frequency domain, which involves taking the Fourier transform of an image, multiplying it by a filter function, and taking the inverse Fourier transform. The document discusses sharpening filters specifically, noting that high-pass filters can be used to sharpen by preserving high frequency components that represent edges. It provides examples of ideal low-pass and high-pass filters, and Butterworth and Gaussian filters. Laplacian filters are also introduced as a common sharpening filter that uses an approximation of second derivatives to detect and enhance edges.
MQTT is a lightweight publish/subscribe messaging protocol that is well suited for IoT applications due to its low bandwidth and battery usage, ability to publish messages to topics that many devices can subscribe to, and support for different quality of service levels to ensure reliable delivery. It works by having clients publish messages to topics that other clients subscribe to through a broker, with topics acting as channels for messages and brokers handling message routing and storage. MQTT has gained popularity for IoT due to its simplicity, low memory footprint, and ability to handle intermittent connectivity.
Come join us at the Online Meetup to learn more about MQ Integrations and Circuit Breakers. Help us spread the knowledge of Mule!
A brief agenda:
> Networking and Knowledge sharing.
> MuleSoft Latest Product Release Updates.
> Anypoint Messaging Queue in MuleSoft
> MQ Integrations with Circuit Breaker in MuleSoft
> Demo
> Finally, we will wrap-up this event with the agenda for the next meetup.
Stay connected to get updates on what's new in MuleSoft.
SDN( Software Defined Network) and NFV(Network Function Virtualization) for I...Sagar Rai
Software, Software Defined Network, Network Function Virtualization, SDN, NFV, Internet of things, Basics of Internet of things, Network Basics, Virtualization, Limitation of Conventional Network, Open flow, Basics of conventional network,
In the seven-layer OSI model of computer networking, media access control (MAC) data communication protocol is a sublayer of the data link layer (layer 2). The MAC sublayer provides addressing and channel access control mechanisms that make it possible for several terminals or network nodes to communicate within a multiple access network that incorporates a shared medium, e.g. an Ethernet network. The hardware that implements the MAC is referred to as a media access controller.
The MAC sublayer acts as an interface between the logical link control (LLC) sublayer and the network's physical layer. The MAC layer emulates a full-duplex logical communication channel in a multi-point network. This channel may provide unicast, multicast or broadcast communication service.
1. The document discusses various image transforms including discrete cosine transform (DCT), discrete wavelet transform (DWT), and contourlet transform.
2. DCT transforms an image into frequency domain and organizes values based on human visual system importance. DWT analyzes images using wavelets of different scales and positions.
3. Contourlet transform is derived directly from discrete domain to capture smooth contours and edges at any orientation, decoupling multiscale and directional decompositions. It provides better efficiency than DWT for representing images.
This document discusses medium access control (MAC) protocols, which regulate access to a shared wireless medium between nodes. It covers key requirements for MAC protocols including throughput efficiency, fairness, and low overhead. It also describes challenges like the hidden terminal problem, exposed terminal problem, and sources of overhead from collisions, overhearing, and idle listening. Finally, it categorizes common MAC protocols as fixed assignment, demand assignment, and random access and notes additional energy conservation requirements for wireless sensor networks.
The document discusses the need for data analysis closer to IoT devices due to increasing data volumes, variety of connected objects, and efficiency needs. It outlines requirements like minimizing latency, conserving network bandwidth, and increasing local efficiency. It then describes challenges with IoT systems like limited bandwidth, high latency, unreliable backhaul links, high data volumes, and issues with analyzing all data in the cloud. The document introduces fog computing as a solution, noting its key characteristics include low latency processing near IoT endpoints, geographic distribution, deployment near large numbers of wireless IoT devices, and use for real-time interactions through preprocessing of data. Finally, it states that fog nodes are naturally located in network devices closest to IoT endpoints throughout a
This document discusses the Fourier transformation, including:
1) It defines continuous and discrete Fourier transformations and their properties such as separability, translation, periodicity, and convolution.
2) The fast Fourier transformation (FFT) improves the computational complexity of the discrete Fourier transformation from O(N^2) to O(NlogN).
3) FFT works by rewriting the DFT calculation in a way that exploits symmetry and reduces redundant computations.
A wireless sensor network has important applications such as remote environmental monitoring and target tracking, particularly in recent years with the help of sensors that are smaller, cheaper, and intelligent. Sensors are equipped with wireless interfaces with which they can communicate with one another to form a network. A WSN consists of a number of sensor nodes (few tens to thousands) working together to monitor a region to obtain data about the environment. The design of a WSN depends significantly on the application, and it must consider factors such as the environment, the applications design objectives, cost, hardware, and system constraints.
Current Activities in WSN: Developing test bed for target tracking Using Passive Infrared and Ultrasonic Sensors Improving the delivery rate in low power wireless networks .Guided Navigation of Friendly Vehicle towards tracked Object. Design and development of smart mines and explosive ordinance for intelligent activation and deactivation and safe recovery based on secure WSN. Design of a data mule for data collection from remotely placed sensor nodes
The course gives the thorough concepts of the wireless sensor networks, applications examples. It also gives detailed study of sensor node architecture and various protocols used in wireless sensor networks. It also covers issues related to topology, clustering ,synchronization and operating execution environment used for wireless sensor networks.
Transform coding is a lossy compression technique that converts data like images and videos into an alternate form that is more convenient for compression purposes. It does this through a transformation process followed by coding. The transformation removes redundancy from the data by converting pixels into coefficients, lowering the number of bits needed to store them. For example, an array of 4 pixels requiring 32 bits to store originally might only need 20 bits after transformation. Transform coding is generally used for natural data like audio and images, removes redundancy, lowers bandwidth, and can form images with fewer colors. JPEG is an example of transform coding.
“LTE-M” stands for Long Term Evolution for Machines. It is a low power wide area radio technology standard published by 3GPP in Release 13 that addresses the requirements of the IoT (Internet of Things). The technology provides improved both indoor and outdoor coverage, supports massive numbers of low throughput devices, low delay sensitivity, ultra-low device cost, low device power consumption and optimized network architecture.
Introduction to Network Function Virtualization (NFV)rjain51
Class lecture by Prof. Raj Jain on Introduction to Network Function Virtualization (NFV). The talk covers Four Innovations of NFV, Network Function Virtualization, NFV, Why We need NFV?, NFV and SDN Relationship, Mobile Network Functions, ETSI NFV ISG, NFV Specifications, NFV Architecture, NFV Concepts, Network Forwarding Graph, NFV Reference Points, NFV Framework Requirements, NFV Use Cases, NFV Proof of Concepts, PoCs, ETSI ISG Timeline, Introduction to, Four Innovations of NFV, Network Function Virtualization, NFV, Why We need NFV?, NFV and SDN Relationship, Mobile Network Functions, ETSI NFV ISG, NFV Specifications, NFV Architecture, NFV Concepts, Network Forwarding Graph, NFV Reference Points, NFV Framework Requirements, NFV Use Cases, NFV Proof of Concepts, PoCs, ETSI ISG Timeline. Video recording available in YouTube.
This document provides an introduction to image segmentation. It discusses how image segmentation partitions an image into meaningful regions based on measurements like greyscale, color, texture, depth, or motion. Segmentation is often an initial step in image understanding and has applications in identifying objects, guiding robots, and video compression. The document describes thresholding and clustering as two common segmentation techniques and provides examples of segmentation based on greyscale, texture, motion, depth, and optical flow. It also discusses region-growing, edge-based, and active contour model approaches to segmentation.
The document discusses Software-Defined Networking (SDN), defining it as an emerging architecture that is dynamic, manageable, cost-effective and adaptable. It describes SDN protocols like OpenFlow that give access to network switches. It outlines the key aspects of the SDN architecture including being directly programmable, centrally managed, programmatically configured, and open standards-based. It also lists several related open-source SDN projects and protocols involved in SDN like Open vSwitch, ONAP, DPDK, OpenDaylight, ONOS, and PNDA.
Image restoration and degradation modelAnupriyaDurai
This document discusses image restoration and degradation. It provides an overview of image restoration techniques which attempt to reverse degradation processes and restore lost image information. Several types of image degradation are described, including motion blur, noise, and misfocus. Common noise models are explained, such as Gaussian, salt and pepper, Erlang, exponential, and uniform noise. Methods for estimating degradation models from observed images are also summarized, including using image observations, experimental replication of degradation, and mathematical modeling.
Sensor Protocols for Information via Negotiation (SPIN)rajivagarwal23dei
Wireless sensor networks consist of large numbers of sensor nodes that monitor parameters and communicate wirelessly. The SPIN protocol family was developed to address the limitations of sensor nodes, particularly their limited energy, computation, and communication capabilities. SPIN uses meta-data negotiation and resource awareness to disseminate data between nodes more efficiently than flooding protocols. SPIN-1 is a simple three-stage handshake protocol that reduces energy costs. SPIN-2 builds upon SPIN-1 with an additional energy conservation heuristic to further prolong network lifetime. Evaluation shows SPIN consumes significantly less energy than flooding for data dissemination in wireless sensor networks.
This document discusses various approaches to improving TCP performance over mobile networks. It describes Indirect TCP, Snooping TCP, Mobile TCP, optimizations like fast retransmit/recovery and transmission freezing, and transaction-oriented TCP. Each approach is summarized in terms of its key mechanisms, advantages, and disadvantages. Overall, the document evaluates different ways TCP has been adapted to better support mobility and address challenges like frequent disconnections, packet losses during handovers, and high bit error rates over wireless links.
The document discusses MAC protocols for wireless sensor networks. It begins by outlining issues in designing MAC protocols for ad-hoc wireless networks, such as bandwidth efficiency, quality of service support, synchronization, and the error-prone shared wireless medium. It then describes the design goals of MAC protocols. The document classifies MAC protocols into three categories: contention-based protocols, contention-based protocols with reservation mechanisms, and contention-based protocols with scheduling mechanisms. Several examples are provided for each category, including MACA, FAMA, and RTMAC protocols.
General Packet Radio Service (GPRS) is a new bearer service for GSM that greatly improves and simplifies wireless access to packet data networks.General Packet Radio Service (GPRS) is a new bearer service for GSM that greatly improves and simplifies wireless access to packet data networks
GPRS applies packet radio principal to transfer user data packets in an efficient way b/w MS & external packet data network
GPRS applies packet radio principal to transfer user data packets in an efficient way b/w MS & external packet data network
This document discusses radio channels and interfaces in GSM networks. It covers topics like:
- The Um interface between the mobile station and base station subsystem.
- Processing of the voice signal from analog to digital conversion through encoding, interleaving and modulation for transmission.
- The different types of radio channels used including traffic channels, control channels, and their logical and physical combinations in bursts and frames.
- Technologies used for efficient transmission like frequency hopping, discontinuous transmission, and power control.
Sharpening using frequency Domain Filterarulraj121
This document discusses frequency domain filtering for image sharpening. It begins by explaining the difference between spatial and frequency domain image enhancement techniques. It then describes the basic steps for filtering in the frequency domain, which involves taking the Fourier transform of an image, multiplying it by a filter function, and taking the inverse Fourier transform. The document discusses sharpening filters specifically, noting that high-pass filters can be used to sharpen by preserving high frequency components that represent edges. It provides examples of ideal low-pass and high-pass filters, and Butterworth and Gaussian filters. Laplacian filters are also introduced as a common sharpening filter that uses an approximation of second derivatives to detect and enhance edges.
MQTT is a lightweight publish/subscribe messaging protocol that is well suited for IoT applications due to its low bandwidth and battery usage, ability to publish messages to topics that many devices can subscribe to, and support for different quality of service levels to ensure reliable delivery. It works by having clients publish messages to topics that other clients subscribe to through a broker, with topics acting as channels for messages and brokers handling message routing and storage. MQTT has gained popularity for IoT due to its simplicity, low memory footprint, and ability to handle intermittent connectivity.
Come join us at the Online Meetup to learn more about MQ Integrations and Circuit Breakers. Help us spread the knowledge of Mule!
A brief agenda:
> Networking and Knowledge sharing.
> MuleSoft Latest Product Release Updates.
> Anypoint Messaging Queue in MuleSoft
> MQ Integrations with Circuit Breaker in MuleSoft
> Demo
> Finally, we will wrap-up this event with the agenda for the next meetup.
Stay connected to get updates on what's new in MuleSoft.
The Internet of Things (IoT) has recently gained massive traction. IoT challenges enterprises, small companies, and developers with new problems to solve. While HTTP is
the de-facto protocol for the human web, communication between machines at scale requires a paradigm shift— steering away from request/response and leading towards publish/subscribe. This is where the ultra-lightweight, massively scalable, and easy-to-implement protocol MQTT enters the picture.
The 100% open source WSO2 Message Broker is a lightweight, easy-to-use, distributed message-brokering server. It features high availability (HA) support with a complete hot-to-hot continuous availability mode, the ability to scale up to several servers in a cluster, and no single point of failure. It is designed to manage persistent messaging and large numbers of queues, subscribers and messages.
1) MQTT is a lightweight publish/subscribe messaging protocol that is commonly used for IoT applications due to its low bandwidth and resource usage. It allows devices to publish messages to topics that interested subscribers can subscribe to.
2) The typical MQTT architecture consists of clients that publish or subscribe to messages and a broker that controls message distribution by filtering, routing, and delivering messages to subscribed clients.
3) MQTT is well suited for constrained environments like healthcare monitoring, smart energy grids, and social networking where bandwidth and device resources are limited. It supports different quality of service levels to ensure reliable message delivery.
The document provides an overview of the MQTT protocol. It discusses that MQTT stands for Message Queuing Telemetry Transport, is a lightweight publish/subscribe messaging protocol designed for constrained devices and low-bandwidth networks. It then describes some key features of MQTT including its lightweight binary format, small packet headers, and support for publish/subscribe messaging. Finally, it discusses some common MQTT applications in IoT, including remote device monitoring and control, home automation, and smart city implementations.
The document discusses two common IoT protocols - FTP and MQTT.
FTP is described as a standard network protocol used for transferring computer files between a client and server. It uses separate control and data connections. FTP users can authenticate with a username and password or connect anonymously. For security, FTP is often secured with SSL/TLS or replaced with SFTP.
MQTT is introduced as a lightweight publish/subscribe messaging protocol designed for M2M communications in low bandwidth environments. Key points about MQTT include that it was created in 1999 for oil pipeline telemetry, became an OASIS standard in 2014, uses publish/subscribe messaging architecture, runs over TCP/IP, supports MQTT versions 3 and 5, and is widely used
MQTT is a lightweight publish/subscribe messaging protocol that is well-suited for IoT and M2M communication due to its low bandwidth and low power requirements. It uses a publish/subscribe model where clients publish messages to topics and subscribing clients receive messages on topics they are subscribed to. MQTT supports different levels of quality of service (QoS) to guarantee message delivery. While MQTT works well for many IoT use cases, it has limitations around message expiry, security, ordering, and priority that future work could aim to address.
This document discusses a computer networks course taught by Dr. Shivashankar at RRIT. The course aims to help students understand networking concepts and protocols. It covers topics like network architectures, protocols at different layers, and basic network configurations. The document provides details of transport layer protocols like TCP and UDP, explaining their services, operation mechanisms, and applications.
The document provides an overview of advanced message queuing protocol (AMQP) and message queuing in distributed systems. It discusses key concepts like message brokers, exchanges, and messaging patterns supported by AMQP like publish/subscribe, point-to-point, and request/response. It also describes an implementation of a microservices-based e-commerce application using RabbitMQ for messaging between the auth, product, and order services.
IBM MQ: Managing Workloads, Scaling and Availability with MQ ClustersDavid Ware
MQ Clustering can be used to solve many problems, from simplified administration and workload management in an MQ network, to horizontal scalability and continuous availability of messaging applications. This session will show the full range of uses of MQ Clusters to solve real problems, highlighting the underlying technology being used. A basic understanding of IBM MQ clustering would be beneficial.
MQTT is an open messaging protocol that enables lightweight transfer of telemetry data between devices over constrained networks. It uses a publish/subscribe messaging transport that is agnostic to content and can provide three qualities of service for message delivery. Key features include a small transport overhead, minimization of network traffic, and notification of client disconnections. An extension called MQTT-S was also developed for non-TCP/IP sensor networks like ZigBee.
MQTT stands for MQ Telemetry Transport.
1. Publish/subscribe.
2. Constrained devices and low-bandwidth, high-latency or unreliable networks.
3. Minimise network bandwidth and device resource requirements whilst also attempting to ensure reliability and some degree of assurance of delivery.
4. Ideal for M2M and IoT
In today’s data-driven world, messages play a vital role as they are heavily used to transfer data and communicate among various IT ecosystems. As these ecosystems become more business critical, people expect messages to process and respond in less than a second, regardless of the complexity and distance between ecosystems.
The concept of “Asynchronous Messaging” can be applied to fulfill this industry essential as it helps in different ways and means to communicate efficiently and efficaciously. This webinar will discuss
The document discusses the future of MQTT and MQTT 5.0. It provides an overview of MQTT 5.0, including improvements to error reporting, extensible metadata, simplified session state, server-initiated disconnects, and request/response capabilities. Implementations of MQTT 5.0 by Eclipse Paho and others are in progress, with the standard expected to be finalized in 2018. MQTT 3.1.1 and 5.0 will coexist for a long time.
This document summarizes using AMQP and RabbitMQ for messaging with Spring and Camel. It provides an overview of messaging and why it is used, describes the AMQP protocol and RabbitMQ broker, explains the different AMQP concepts like queues, exchanges and bindings, and how to integrate RabbitMQ with Spring and Camel using common patterns. Useful links are also included for tutorials on RabbitMQ, Camel RabbitMQ component, example code, and Spring AMQP.
The transport layer provides end-to-end communication over a network by providing services such as connection-oriented communication, reliability, flow control, and multiplexing. It links the application layer to the network layer and performs functions like segmenting messages and establishing connections between endpoints. Common transport protocols are TCP, which provides connection-oriented and reliable data transfer, and UDP, which provides connectionless datagram delivery.
The API Journey: GraphQL Specification and ImplementationHaci Murat Yaman
The document discusses GraphQL, including its specification and implementation. It describes GraphQL's basic schema definition (1a), additional features like directives, scalars, and enums (1b), and mutations and subscriptions (1c, 1d). It then covers implementing a simple GraphQL server (2a), using federation for multi-tier architectures (2b), and code generation for speeding development (2c).
This document discusses the evolution of APIs from REST to GraphQL. It begins by describing RESTful microservices and their limitations in needing multiple requests to retrieve related data. Next, it introduces GraphQL as providing a better solution through allowing clients to request specific data in a single query using a defined schema. The document provides an example GraphQL query and describes how Apollo GraphQL can be used to create a GraphQL server and support federated data. It concludes by noting GraphQL addresses issues with REST by being faster, requiring less data transfer and hosting costs, and through integrated development tools.
The document provides sample code examples for key Node.js concepts including prototype-based object-oriented programming, asynchronous programming with callbacks, promises, and async/await, automated testing with Mocha and Chai, and using TypeScript with Node.js. The examples cover topics such as object prototypes, classes, timers, promises, generator functions, generics, and writing automated tests. Useful links are also provided for further learning Node.js, asynchronous programming, testing, and TypeScript.
The document discusses Node.js including:
1. An introduction to Node.js as an asynchronous event-driven JavaScript runtime for building scalable network applications.
2. Common internal Node.js modules like HTTP, File System, and Crypto.
3. Differences between JavaScript on Node.js and Java on JRE.
4. A sample HTTP server using the internal HTTP module to respond with "Hello World".
The document discusses the history and evolution of JavaScript, TypeScript, and related technologies. It describes how JavaScript originated as LiveScript in 1995 and was standardized as ECMAScript. It outlines the development of JavaScript engines like V8 and environments like Node.js that expanded JavaScript beyond browsers. Finally, it introduces TypeScript as a typed superset of JavaScript that transpiles to JavaScript and allows development of client-side and server-side apps using JavaScript and Node.js.
The Saga of JavaScript and Typescript: in Deno landHaci Murat Yaman
This document discusses Deno, a JavaScript and TypeScript runtime built in Rust. It provides 3 key points:
1. Deno was created by Ryan Dahl to address issues he saw in Node.js like security, dependencies, and build systems.
2. Deno is a secure runtime that only allows access to files, network, etc. if explicitly enabled. It uses V8 and includes built-in modules similar to Golang's standard library.
3. Code samples demonstrate creating an HTTP server and reading/writing JSON files in Deno, highlighting features like ES modules and TypeScript support.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
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1. MQTT meets AMQP
for reliable messaging
By Haci Murat Yaman 25/6/2023
https://www.linkedin.com/in/muratyaman/
2. MQTT: Message Queuing Telemetry Transport
“... lightweight messaging protocol designed for efficient communication between
devices in constrained networks”
It is a Pub/Sub protocol.
It is not a message queue.
3. MQTT: Advantages
● Lightweight and Efficient in terms of bandwidth & processing power
● Persistent Sessions:
○ Clients can maintain their subscriptions and message queues even if they temporarily disconnect from the
broker; this feature ensures message delivery to clients that were offline during a period of unreliable
connectivity. This is misleading!
● Publish/Subscribe Model:
○ Publishers send messages to a broker; subscribers receive messages from the broker.
● Asynchronous Communication:
○ The sender does not need to wait for an immediate response from the receiver.
● Quality of Service (QoS) Levels: This is very misleading!
○ 0 (At most once): Messages are delivered once but may be lost or duplicated.
○ 1 (At least once): Messages are guaranteed to be delivered at least once, but duplicates may occur.
○ 2 (Exactly once): Messages are ensured to be delivered exactly once by using a two-step handshake
process.
● Scalability and Flexibility: a broker handle many devices → suitable for IoT
4. MQTT: Disadvantages
● Increased Network Overhead:
○ esp. in extremely constrained networks or when dealing with a large number of small messages
● Lack of Built-in Security:
○ Even though it can work over TLS; MQTT applications should implement authentication.
● Potential Message Loss:
○ While higher QoS levels (such as QoS 1 and QoS 2) provide reliability, they can introduce additional
overhead and latency, impacting the overall efficiency of the communication.
● Lack of Standardized Support for Request-Response Communication:
○ Its pub/sub model is primarily designed for asynchronous communication.
● Limited Broker Features:
○ Brokers typically focus on message routing and delivery.
○ Advanced features like message persistence depends on implementation.
● Bandwidth Consumption:
○ In scenarios with extremely low-bandwidth or high-cost data connections, the continuous
transmission of MQTT control packets, keep-alive messages, and subscription updates can impact
the overall data consumption.
5. AMQP: Advanced Message Queuing Protocol
“... a messaging protocol that provides a reliable and flexible means of
communication between applications or components in a distributed system.”
6. AMQP: Advantages
● Reliable Message Delivery:
○ It uses acknowledgments and delivery confirmations.
● Interoperability:
○ It provides a standard way of exchanging messages
● Scalability:
○ It supports distributed and scalable messaging architectures.
○ We can add more instances of the message broker or message queues.
● Message Routing and Filtering:
○ It provides flexible mechanisms for routing messages such as header-based, topic-based, content-based.
● Security:
○ It includes built-in security features like authentication and authorization mechanisms
● Vendor Neutrality:
○ It is an open and standardized protocol.
● Message Persistence:
○ It supports durable message queues.
● Monitoring and Management:
○ It includes mechanisms for tracking message rates, queue sizes, and other metrics
7. AMQP: Disadvantages
● Complexity:
○ It can be complex to set up and configure.
○ Learning Curve for Developers: Effort is required to implement message producers and consumers correctly.
○ Operational Complexity: It requires configuring queues, setting up routing rules, monitoring message flows,
and ensuring high availability and fault tolerance.
● Performance Overhead:
○ Robustness and reliability features come with performance overhead; i.e. due to acknowledgments,
confirmations, and message persistence
● Protocol Compatibility:
○ Implementations of senders and receivers may not be compatible.
● Limited Real-Time Messaging:
○ Even though it is capable of handling real-time messaging, it may not be the optimal choice for extremely low-
latency, high-frequency messaging scenarios.
● Scalability Challenges:
○ Managing large-scale deployments with high message volumes requires careful planning, monitoring, and
load balancing to ensure efficient resource utilization and avoid bottlenecks.
● Potential Vendor Lock-In:
○ There is possibility of vendor lock-in if you heavily rely on proprietary extensions or features.
11. Conclusion
The proof of concept works!
Code repository: https://github.com/muratyaman/mqtt-meets-amqp
But more testing is needed esp. under heavy load.
Could this stack of MQTT & AMQP work better than MQTT or AMQP alone?