SlideShare a Scribd company logo
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-7, July- 2016]
Infogain Publication (Infogainpublication.com) ISSN : 2454-1311
www.ijaems.com Page | 993
Energy Efficiency Routing Protocol for WSNs
Prof. Mrs. Shoba Krishnan1
, Geeta Shirke2
1
Head of Department of EXTC, V.E.S.I.T., Mumbai, Mumbai University, Mumbai, India
2
Department of EXTC, V.E.S.I.T., Mumbai, Mumbai University, Mumbai, India
Abstract—Advance in the WIRELESS SENSOR
NETWORK (WISENET) technology is energy efficient
routing protocols that promises a wide range of potential
applications in both civilian and military areas. In the
WISNET the sensor node have a limited transmission
range and their processing and storage capabilities as
well as their energy sources are limited. So the Equalized
Cluster Head Election Routing Protocol (ECHERP) and
PEGASIS with Double Cluster Head (PDCH) pursues
energy conservation through balanced clustering for
Energy Efficiency. In WSN, energy efficient routing
protocol is important to increase the network lifetime.
ECHERP and PDCH both protocol claims to be energy
efficient.
Keywords—Energy Efficiency, ECHERP, Network
lifetime, PDCH algorithm, Wireless Sensor Networks
(WSN).
I. INTRODUCTION
The routing protocol in WSNs can be divided into flat-
based routing protocol, hierarchical routing protocol,
location-based routing protocol and QoS based routing
protocol. Hierarchical routing is proved to be an efficient
routing protocol to lower energy consumption in WSN
and increasing the network lifetime. In Hierarchical
routing each node will either act like a Cluster Head (CH)
or a Sensing node(SN), where node with higher energy
will be selected as CH , the role of CH is to process data
received by sensor node and transmit it to BS and role of
SN is to sense the parameter from environment and send
the data to CH. Hierarchical routing is proved to be an
efficient way to lower energy consumption within a
cluster and by performing data aggregation and fusion in
order to decrease the number of transmitted messages to
the BS. The ECHERP, in order to increase the network
lifetime elects a node as cluster head that minimizes the
total energy consumption in the cluster and the node with
the higher energy. ECHERP also adopts multihop routing
scheme to transfer data to base station.
The PDCH, is a chain based double cluster head protocol
that is near optimal data transmission algorithm in sensor
network. This protocol distribute the work load among
two cluster heads, nodes were selected in suitable ways to
transmit the data to BS to balance the energy depletion in
the network and preserve robustness of the sensor web as
node dies at random location. As the ECHERP uses a
more efficient method to select a node as CH by
considering the current and estimated future residual
energy of node along with number of rounds that they can
be CH in order to maximize the network lifetime and
ECHERP perform better than PEGASIS that we
discussed in this paper, whereas PDCH by using double
CH increase the efficiency of energy sing and the load
balance and extend the lifetime of whole network.
The comparison of the routing protocols ECHERP and
PDCH on various network and QoS parameter may give
better result when implemented as which protocol is more
energy efficient, the network lifetime, delay and end to
end characteristic may also be improved in this
comparison.
II. ECHERP
Equalized Cluster Head Election Routing Protocol
(ECHERP) [2] is proposed which pursues energy
conversation through balanced clustering. It elects CH by
considering the current and the estimated future residual
energy of the nodes. ECHERP model the network as a
linear system and the Gaussian elimination algorithm in
order to find the candidate CH nodes. In ECHERP, the
BS is predictable to have unlimited energy residues and
communication power. It is also supposed that the BS is
located at a fixed position, either inside or away from the
sensor field. The longer the distance between the BS and
the center of the sensor field, the higher the energy
expenditure for every single node transmitting to the BS.
Each cluster consists of member nodes and a cluster head
(CH). CH is responsible for collecting and aggregating
data from the member nodes and sending it to other CH
or BS. The objective of the CH election is to provide
energy efficiency so as to enhance the lifetime of the
WSN. Data aggregation is one of the ways which can
provide energy efficiency.
III. PDCH
Power-Efficient GAthering in Sensor Information
Systems (PEGASIS) [10] is an energy efficient protocol,
which provides improvements over LEACH. In
PEGASIS, each node communicates only with a nearby
neighbor in order to exchange data. It takes turns in order
to transmit the information to the base station, thus
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-7, July- 2016]
Infogain Publication (Infogainpublication.com) ISSN : 2454-1311
www.ijaems.com Page | 994
reducing the amount of energy spent per round. The
nodes are organized in such a way as to form a chain,
which can either be formed by the sensor nodes
themselves using a greedy algorithm starting from a
certain node, or the BS can compute this chain and
broadcast it to all the sensor nodes.
The PDCH shown in fig. (1), is a chain based double
cluster head protocol that is near optimal data
transmission algorithm in sensor network. This protocol
distribute the work load among two cluster heads, nodes
were selected in suitable ways to transmit the fused data
to BS to balance the energy depletion in the network and
preserve robustness of the sensor web as node dies at
random location.
All of the above observation motivates the need for
routing protocol that reduces the energy consumption and
increases the lifetime of network. As both the above
routing protocol are energy efficient and increases the
network lifetime, this motivates us to compare
performance of two routing protocols, ECHERP and
PDCH. The performance of these routing protocols will
be analyzed by using various metrics like energy usage in
terms of network load, throughput, and delay and end-to-
end performance characteristics of both algorithms.
PDCH, a double cluster head choosing protocol that is
near optimal for a data-transmission algorithm in sensor
networks. In this, we propose an energy efficient routing
algorithm to prolong the network lifetime for WSNs
based on ECHERP and PDCH routing algorithms. The
comparison of the routing protocols ECHERP and PDCH
on various network and QoS parameter may give better
result when implemented as which protocol is more
energy efficient, the network lifetime, delay and end to
end characteristic may also be improved in this
comparison [11].
3.1 Algorithm of PDCH
In PDCH Algorithm the steps in order to structure double
clusters and then choose cluster heads are the following:
1. Network initialization: Initially network is created
using ‘N’ nodes within nxn m2 area. One BS is
defined at some random location which is at greater
distance from sensing region.
2. BS Found Distance from node: Now the distance
from BS to all other nodes in the network is found
using the Straight line distance formula. Now the
levels are formed based on the distance from base
station and each level is given an ID.
3. Formation of Chain: Now in each level node will
form a chain by connecting itself to closest neighbor
with the same level nodes only. After forming the
chain, 2 head node is randomly elected on basis of
highest energy in each cluster.
4. Selection of Two Cluster Heads: At every level, it
selects two CH. One is main cluster head with
highest residual energy and node with second
highest residual energy will be selected to be the
second cluster head. If there is no branch chain in
one main chain note at last.
5. Form Chain between each level of Cluster Heads:
After the building chain in every level, we should
chain up all the secondary cluster heads with the
same method of building chain, and at last level
secondary cluster head will receive and confusion all
of the data and send them to BS.
IV. SIMULATION ENVIRONMENT
We performed simulation in network simulation (NS-2).
Simulation Configuration is conducted within the
Network Simulator NS2.34 environment on a platform
Ubuntu 10.04. The system is running on a laptop with
Intel(R) Core(TM) i7-4510U CPU and 8-GB RAM. In
NS2.34, the configuration specifies 50 and 100 nodes in a
flat space with a size of 1000m × 1000m with single
source and destination with possible of multiple routes.
Both the physical layer and the 802.11 MAC layer are
included in the wireless extension of NS2.
V. SIMULATOIN RESULTS
We evaluate Comparison of ECHERP and PDCH mainly
in following metrics using cutting-edge tools in algorithm
of PDCH. As per simulation environment worked on
different metrics like Average Energy, Control Overhead,
Delay and Throughputs.
Fig. 1: Double cluster head method
0
1
2
3
4
5
Note
BS
Main Duster Head
Secondary Duster
Head
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-7, July- 2016]
Infogain Publication (Infogainpublication.com) ISSN : 2454-1311
www.ijaems.com Page | 995
In figure (2) shows comparison of Average Energy of
ECHERP and PDCH protocols performed in very balance
condition. PDCH consume less energy by comparing with
ECHERP. PDCH shows Energy Efficiency in WSN. In
figure (3) shows control overhead of data transmission
increases smallest with respect to time in seconds. Next in
figure (4) which is Delay of both protocols. PDCH have
minimum delay. In figure (5) throughput of ECHERP and
PDCH. In that ECHERP required more packets than
PDCH.
Fig.2: Comparison of ECHERP and PDCH in Average
Energy
Fig.3: Comparison of ECHERP and PDCH in Control
overhead
Fig.4: Comparison of ECHERP and PDCH in Delay
Fig.5: Comparison of ECHERP and PDCH in
Throughput
VI. CONCLUSION
In Hierarchy type of protocols our main objective to elect
cluster head with higher energy for better network life
span. As per simulation results we observed that each
metric shows better performance of PDCH protocol. By
election process of double cluster heads we achieved our
goals. We hope that the simulation results presented by us
will be useful to other researchers to analyses.
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-7, July- 2016]
Infogain Publication (Infogainpublication.com) ISSN : 2454-1311
www.ijaems.com Page | 996
REFERENCES
[1] A. Boulis, Castalia: A Simulator for Wireless Sensor
Networks and Body Area Networks: Version 3.2:
Users Manual, IEEE Standard 802.15.4, 2010.
[2] Ankit Thakkar and Ketan Kotecha, “Cluster head
election for energy and delay constraint application
of wireless sensor network,” IEEE Sensors Journal,
vol. 14, no. 8, August 2014.
[3] J. N. Al-Karaki and A. E. Kamal, “Routing
techniques in wireless sensor networks: A survey,”
IEEE Wireless Commun., vol. 11, no. 6, pp. 6-24,
Dec. 2004.
[4] M. Younis, M. Youssef, and K. Arisha, “Energy-
aware routing in cluster based sensor networks,” in
Proc. 10th IEEE Int. Symp. MASCOTS, Oct. 2002,
pp. 129–136.
[5] S. Bai, W. Zhang, G. Xue, J. Tang, and C. Wang,
“DEAR: Delay bounded energy-constrained adaptive
routing in wireless sensor networks,” in Proc. IEEE
INFOCOM, Mar. 2012, pp. 1593–1601.
[6] S.-S. Chiang, C.-H. Huang, and K.-C. Chang, “A
minimum hop routing protocol for home security
systems using wireless sensor networks,” IEEE
Trans. Consum. Electron. , vol. 53, no. 4, pp. 1483–
1489, Nov. 2007.
[7] Stefanos A. Nikolidakis and Dionisis Kandris,
“Energy efficient routing in wsn through balance
clustering,” Article ISSN 6, 29-42, Algorithm 2013
[8] S. Lindsey and C. S. Raghavendra, "PEGASIS:
Power-efficient gathering in sensor information
systems," in IEEE Aerospace Conference
Proceedings, vol. 3, pp. 1125-1130, March 2002.
[9] S. Lindsey, C. Raghavendra and K. M. Sivalingam,
"Data Gathering algorithms in sensor networks using
the energy metric," in , IEEE Transactions on Parallel
and Distributed Systems, vol. 13, Issue 9, pp. 924-
935, Sep. 2002.
[10]Wang Linping, Cai Zhen, Bi Wu and Wang Zufeng,
"Improved algorithm of PEGASIS protocol
introducing double cluster heads in wireless sensor
network," in International Conference on Computer,
Mechatronics, Control and Electronic Engineering
(CMCE), vol. 1, pp. 148-151, Changchun, Aug.
2010.
[11]YU Yong-chang, WEI Gang, "An Improved
PEGASIS Algorithm in Wireless Sensor Network,"
in the proceedings of Acta Electronica Sinica, vol.
36, pp. 1309- 1313, July 2008.

More Related Content

What's hot (16)

PDF
34 9141 it ns2-tentative route selection approach for edit septian
IAESIJEECS
 
PDF
Energy Efficient Stable Election Protocol for Clustered Heterogeneous Wireles...
IOSR Journals
 
PDF
Enhanced Hybrid Clustering Scheme for Dense Wireless Sensor Networks
Associate Professor in VSB Coimbatore
 
PDF
Implementing packet broadcasting algorithm of mimo based mobile ad hoc networ...
IJNSA Journal
 
PDF
ENERGY EFFICIENT AGGREGATION WITH DIVERGENT SINK PLACEMENT FOR WIRELESS SENSO...
ijasuc
 
PDF
DATA GATHERING ALGORITHMS FOR WIRELESS SENSOR NETWORKS: A SURVEY
ijasuc
 
PDF
A CLUSTER BASED STABLE ROUTING PROTOCOL USING BINARY PARTICLE SWARM OPTIMIZAT...
ijmnct
 
PDF
Location updation for energy efficient geographic routing in manet
eSAT Journals
 
PDF
Particle swarm optimized power
ijfcstjournal
 
PDF
An Adaptive Energy Aware Clustering Based Reliable Routing for in-Network Agg...
Editor IJCATR
 
PDF
AN OPTIMUM ENERGY CONSUMPTION HYBRID ALGORITHM FOR XLN STRATEGIC DESIGN IN WSN’S
IJCNCJournal
 
PDF
2. 8482 1-pb
IAESIJEECS
 
PDF
A Review of Atypical Hierarchical Routing Protocols for Wireless Sensor Networks
iosrjce
 
PDF
The comparison between routing protocols based on lifetime of wireless sensor...
inventionjournals
 
PDF
Ed33777782
IJERA Editor
 
PDF
GREEDY CLUSTER BASED ROUTING FOR WIRELESS SENSOR NETWORKS
ijcsit
 
34 9141 it ns2-tentative route selection approach for edit septian
IAESIJEECS
 
Energy Efficient Stable Election Protocol for Clustered Heterogeneous Wireles...
IOSR Journals
 
Enhanced Hybrid Clustering Scheme for Dense Wireless Sensor Networks
Associate Professor in VSB Coimbatore
 
Implementing packet broadcasting algorithm of mimo based mobile ad hoc networ...
IJNSA Journal
 
ENERGY EFFICIENT AGGREGATION WITH DIVERGENT SINK PLACEMENT FOR WIRELESS SENSO...
ijasuc
 
DATA GATHERING ALGORITHMS FOR WIRELESS SENSOR NETWORKS: A SURVEY
ijasuc
 
A CLUSTER BASED STABLE ROUTING PROTOCOL USING BINARY PARTICLE SWARM OPTIMIZAT...
ijmnct
 
Location updation for energy efficient geographic routing in manet
eSAT Journals
 
Particle swarm optimized power
ijfcstjournal
 
An Adaptive Energy Aware Clustering Based Reliable Routing for in-Network Agg...
Editor IJCATR
 
AN OPTIMUM ENERGY CONSUMPTION HYBRID ALGORITHM FOR XLN STRATEGIC DESIGN IN WSN’S
IJCNCJournal
 
2. 8482 1-pb
IAESIJEECS
 
A Review of Atypical Hierarchical Routing Protocols for Wireless Sensor Networks
iosrjce
 
The comparison between routing protocols based on lifetime of wireless sensor...
inventionjournals
 
Ed33777782
IJERA Editor
 
GREEDY CLUSTER BASED ROUTING FOR WIRELESS SENSOR NETWORKS
ijcsit
 

Similar to energy efficiency routing protocol for ws ns (20)

PDF
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...
Editor IJCATR
 
PDF
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...
Editor IJCATR
 
PDF
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...
Editor IJCATR
 
PDF
Sector Tree-Based Clustering for Energy Efficient Routing Protocol in Heterog...
IJCNCJournal
 
PDF
SECTOR TREE-BASED CLUSTERING FOR ENERGY EFFICIENT ROUTING PROTOCOL IN HETEROG...
IJCNCJournal
 
PDF
CBHRP: A Cluster Based Routing Protocol for Wireless Sensor Network
CSEIJJournal
 
PDF
Chain Based Wireless Sensor Network Routing Using Hybrid Optimization (HBO An...
IJEEE
 
PDF
DYNAMIC RE-CLUSTERING LEACH-BASED (DR-LEACH) PROTOCOL FOR WIRELESS SENSOR NET...
IJCNCJournal
 
PDF
ENERGY EFFICIENT DATA COMMUNICATION APPROACH IN WIRELESS SENSOR NETWORKS
ijassn
 
PDF
Energy efficient data communication approach in wireless sensor networks
ijassn
 
PDF
Energy Efficient LEACH protocol for Wireless Sensor Network (I-LEACH)
ijsrd.com
 
PDF
Energy Efficient LEACH protocol for Wireless Sensor Network (I-LEACH)
ijsrd.com
 
PDF
Gateway based stable election
ijmnct
 
PDF
An Improved LEACH-C Algorithm for Energy Efficiency in WSN Routing
ijsrd.com
 
PDF
IMPROVEMENTS IN ROUTING ALGORITHMS TO ENHANCE LIFETIME OF WIRELESS SENSOR NET...
IJCNCJournal
 
PDF
OPTIMIZED CLUSTER ESTABLISHMENT AND CLUSTER-HEAD SELECTION APPROACH IN WSN
IJCNCJournal
 
PDF
Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing...
graphhoc
 
PDF
Delay Constraint Network Structure with in-Network Data Fusion for Wireless S...
IRJET Journal
 
PDF
Modified leach protocol in wireless sensor network a survey
IAEME Publication
 
PDF
Improvement In LEACH Protocol By Electing Master Cluster Heads To Enhance The...
Editor IJCATR
 
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...
Editor IJCATR
 
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...
Editor IJCATR
 
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...
Editor IJCATR
 
Sector Tree-Based Clustering for Energy Efficient Routing Protocol in Heterog...
IJCNCJournal
 
SECTOR TREE-BASED CLUSTERING FOR ENERGY EFFICIENT ROUTING PROTOCOL IN HETEROG...
IJCNCJournal
 
CBHRP: A Cluster Based Routing Protocol for Wireless Sensor Network
CSEIJJournal
 
Chain Based Wireless Sensor Network Routing Using Hybrid Optimization (HBO An...
IJEEE
 
DYNAMIC RE-CLUSTERING LEACH-BASED (DR-LEACH) PROTOCOL FOR WIRELESS SENSOR NET...
IJCNCJournal
 
ENERGY EFFICIENT DATA COMMUNICATION APPROACH IN WIRELESS SENSOR NETWORKS
ijassn
 
Energy efficient data communication approach in wireless sensor networks
ijassn
 
Energy Efficient LEACH protocol for Wireless Sensor Network (I-LEACH)
ijsrd.com
 
Energy Efficient LEACH protocol for Wireless Sensor Network (I-LEACH)
ijsrd.com
 
Gateway based stable election
ijmnct
 
An Improved LEACH-C Algorithm for Energy Efficiency in WSN Routing
ijsrd.com
 
IMPROVEMENTS IN ROUTING ALGORITHMS TO ENHANCE LIFETIME OF WIRELESS SENSOR NET...
IJCNCJournal
 
OPTIMIZED CLUSTER ESTABLISHMENT AND CLUSTER-HEAD SELECTION APPROACH IN WSN
IJCNCJournal
 
Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing...
graphhoc
 
Delay Constraint Network Structure with in-Network Data Fusion for Wireless S...
IRJET Journal
 
Modified leach protocol in wireless sensor network a survey
IAEME Publication
 
Improvement In LEACH Protocol By Electing Master Cluster Heads To Enhance The...
Editor IJCATR
 
Ad

Recently uploaded (20)

DOCX
Engineering Geology Field Report to Malekhu .docx
justprashant567
 
PDF
Decision support system in machine learning models for a face recognition-bas...
TELKOMNIKA JOURNAL
 
PDF
輪読会資料_Miipher and Miipher2 .
NABLAS株式会社
 
PPTX
UNIT 1 - INTRODUCTION TO AI and AI tools and basic concept
gokuld13012005
 
PPTX
FSE_LLM4SE1_A Tool for In-depth Analysis of Code Execution Reasoning of Large...
cl144
 
PPTX
Engineering Quiz ShowEngineering Quiz Show
CalvinLabial
 
PPTX
Artificial Intelligence jejeiejj3iriejrjifirirjdjeie
VikingsGaming2
 
PDF
William Stallings - Foundations of Modern Networking_ SDN, NFV, QoE, IoT, and...
lavanya896395
 
PPTX
Diabetes diabetes diabetes diabetes jsnsmxndm
130SaniyaAbduNasir
 
PPTX
Introduction to File Transfer Protocol with commands in FTP
BeulahS2
 
PDF
Artificial Neural Network-Types,Perceptron,Problems
Sharmila Chidaravalli
 
PPTX
Explore USA’s Best Structural And Non Structural Steel Detailing
Silicon Engineering Consultants LLC
 
PDF
lesson4-occupationalsafetyandhealthohsstandards-240812020130-1a7246d0.pdf
arvingallosa3
 
PPTX
Stability of IBR Dominated Grids - IEEE PEDG 2025 - short.pptx
ssuser307730
 
PPTX
Unit_I Functional Units, Instruction Sets.pptx
logaprakash9
 
PDF
Authentication Devices in Fog-mobile Edge Computing Environments through a Wi...
ijujournal
 
PPTX
Computer network Computer network Computer network Computer network
Shrikant317689
 
PDF
CLIP_Internals_and_Architecture.pdf sdvsdv sdv
JoseLuisCahuanaRamos3
 
PPTX
Electrical_Safety_EMI_EMC_Presentation.pptx
drmaneharshalid
 
PDF
How to Buy Verified CashApp Accounts IN 2025
Buy Verified CashApp Accounts
 
Engineering Geology Field Report to Malekhu .docx
justprashant567
 
Decision support system in machine learning models for a face recognition-bas...
TELKOMNIKA JOURNAL
 
輪読会資料_Miipher and Miipher2 .
NABLAS株式会社
 
UNIT 1 - INTRODUCTION TO AI and AI tools and basic concept
gokuld13012005
 
FSE_LLM4SE1_A Tool for In-depth Analysis of Code Execution Reasoning of Large...
cl144
 
Engineering Quiz ShowEngineering Quiz Show
CalvinLabial
 
Artificial Intelligence jejeiejj3iriejrjifirirjdjeie
VikingsGaming2
 
William Stallings - Foundations of Modern Networking_ SDN, NFV, QoE, IoT, and...
lavanya896395
 
Diabetes diabetes diabetes diabetes jsnsmxndm
130SaniyaAbduNasir
 
Introduction to File Transfer Protocol with commands in FTP
BeulahS2
 
Artificial Neural Network-Types,Perceptron,Problems
Sharmila Chidaravalli
 
Explore USA’s Best Structural And Non Structural Steel Detailing
Silicon Engineering Consultants LLC
 
lesson4-occupationalsafetyandhealthohsstandards-240812020130-1a7246d0.pdf
arvingallosa3
 
Stability of IBR Dominated Grids - IEEE PEDG 2025 - short.pptx
ssuser307730
 
Unit_I Functional Units, Instruction Sets.pptx
logaprakash9
 
Authentication Devices in Fog-mobile Edge Computing Environments through a Wi...
ijujournal
 
Computer network Computer network Computer network Computer network
Shrikant317689
 
CLIP_Internals_and_Architecture.pdf sdvsdv sdv
JoseLuisCahuanaRamos3
 
Electrical_Safety_EMI_EMC_Presentation.pptx
drmaneharshalid
 
How to Buy Verified CashApp Accounts IN 2025
Buy Verified CashApp Accounts
 
Ad

energy efficiency routing protocol for ws ns

  • 1. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-7, July- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 993 Energy Efficiency Routing Protocol for WSNs Prof. Mrs. Shoba Krishnan1 , Geeta Shirke2 1 Head of Department of EXTC, V.E.S.I.T., Mumbai, Mumbai University, Mumbai, India 2 Department of EXTC, V.E.S.I.T., Mumbai, Mumbai University, Mumbai, India Abstract—Advance in the WIRELESS SENSOR NETWORK (WISENET) technology is energy efficient routing protocols that promises a wide range of potential applications in both civilian and military areas. In the WISNET the sensor node have a limited transmission range and their processing and storage capabilities as well as their energy sources are limited. So the Equalized Cluster Head Election Routing Protocol (ECHERP) and PEGASIS with Double Cluster Head (PDCH) pursues energy conservation through balanced clustering for Energy Efficiency. In WSN, energy efficient routing protocol is important to increase the network lifetime. ECHERP and PDCH both protocol claims to be energy efficient. Keywords—Energy Efficiency, ECHERP, Network lifetime, PDCH algorithm, Wireless Sensor Networks (WSN). I. INTRODUCTION The routing protocol in WSNs can be divided into flat- based routing protocol, hierarchical routing protocol, location-based routing protocol and QoS based routing protocol. Hierarchical routing is proved to be an efficient routing protocol to lower energy consumption in WSN and increasing the network lifetime. In Hierarchical routing each node will either act like a Cluster Head (CH) or a Sensing node(SN), where node with higher energy will be selected as CH , the role of CH is to process data received by sensor node and transmit it to BS and role of SN is to sense the parameter from environment and send the data to CH. Hierarchical routing is proved to be an efficient way to lower energy consumption within a cluster and by performing data aggregation and fusion in order to decrease the number of transmitted messages to the BS. The ECHERP, in order to increase the network lifetime elects a node as cluster head that minimizes the total energy consumption in the cluster and the node with the higher energy. ECHERP also adopts multihop routing scheme to transfer data to base station. The PDCH, is a chain based double cluster head protocol that is near optimal data transmission algorithm in sensor network. This protocol distribute the work load among two cluster heads, nodes were selected in suitable ways to transmit the data to BS to balance the energy depletion in the network and preserve robustness of the sensor web as node dies at random location. As the ECHERP uses a more efficient method to select a node as CH by considering the current and estimated future residual energy of node along with number of rounds that they can be CH in order to maximize the network lifetime and ECHERP perform better than PEGASIS that we discussed in this paper, whereas PDCH by using double CH increase the efficiency of energy sing and the load balance and extend the lifetime of whole network. The comparison of the routing protocols ECHERP and PDCH on various network and QoS parameter may give better result when implemented as which protocol is more energy efficient, the network lifetime, delay and end to end characteristic may also be improved in this comparison. II. ECHERP Equalized Cluster Head Election Routing Protocol (ECHERP) [2] is proposed which pursues energy conversation through balanced clustering. It elects CH by considering the current and the estimated future residual energy of the nodes. ECHERP model the network as a linear system and the Gaussian elimination algorithm in order to find the candidate CH nodes. In ECHERP, the BS is predictable to have unlimited energy residues and communication power. It is also supposed that the BS is located at a fixed position, either inside or away from the sensor field. The longer the distance between the BS and the center of the sensor field, the higher the energy expenditure for every single node transmitting to the BS. Each cluster consists of member nodes and a cluster head (CH). CH is responsible for collecting and aggregating data from the member nodes and sending it to other CH or BS. The objective of the CH election is to provide energy efficiency so as to enhance the lifetime of the WSN. Data aggregation is one of the ways which can provide energy efficiency. III. PDCH Power-Efficient GAthering in Sensor Information Systems (PEGASIS) [10] is an energy efficient protocol, which provides improvements over LEACH. In PEGASIS, each node communicates only with a nearby neighbor in order to exchange data. It takes turns in order to transmit the information to the base station, thus
  • 2. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-7, July- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 994 reducing the amount of energy spent per round. The nodes are organized in such a way as to form a chain, which can either be formed by the sensor nodes themselves using a greedy algorithm starting from a certain node, or the BS can compute this chain and broadcast it to all the sensor nodes. The PDCH shown in fig. (1), is a chain based double cluster head protocol that is near optimal data transmission algorithm in sensor network. This protocol distribute the work load among two cluster heads, nodes were selected in suitable ways to transmit the fused data to BS to balance the energy depletion in the network and preserve robustness of the sensor web as node dies at random location. All of the above observation motivates the need for routing protocol that reduces the energy consumption and increases the lifetime of network. As both the above routing protocol are energy efficient and increases the network lifetime, this motivates us to compare performance of two routing protocols, ECHERP and PDCH. The performance of these routing protocols will be analyzed by using various metrics like energy usage in terms of network load, throughput, and delay and end-to- end performance characteristics of both algorithms. PDCH, a double cluster head choosing protocol that is near optimal for a data-transmission algorithm in sensor networks. In this, we propose an energy efficient routing algorithm to prolong the network lifetime for WSNs based on ECHERP and PDCH routing algorithms. The comparison of the routing protocols ECHERP and PDCH on various network and QoS parameter may give better result when implemented as which protocol is more energy efficient, the network lifetime, delay and end to end characteristic may also be improved in this comparison [11]. 3.1 Algorithm of PDCH In PDCH Algorithm the steps in order to structure double clusters and then choose cluster heads are the following: 1. Network initialization: Initially network is created using ‘N’ nodes within nxn m2 area. One BS is defined at some random location which is at greater distance from sensing region. 2. BS Found Distance from node: Now the distance from BS to all other nodes in the network is found using the Straight line distance formula. Now the levels are formed based on the distance from base station and each level is given an ID. 3. Formation of Chain: Now in each level node will form a chain by connecting itself to closest neighbor with the same level nodes only. After forming the chain, 2 head node is randomly elected on basis of highest energy in each cluster. 4. Selection of Two Cluster Heads: At every level, it selects two CH. One is main cluster head with highest residual energy and node with second highest residual energy will be selected to be the second cluster head. If there is no branch chain in one main chain note at last. 5. Form Chain between each level of Cluster Heads: After the building chain in every level, we should chain up all the secondary cluster heads with the same method of building chain, and at last level secondary cluster head will receive and confusion all of the data and send them to BS. IV. SIMULATION ENVIRONMENT We performed simulation in network simulation (NS-2). Simulation Configuration is conducted within the Network Simulator NS2.34 environment on a platform Ubuntu 10.04. The system is running on a laptop with Intel(R) Core(TM) i7-4510U CPU and 8-GB RAM. In NS2.34, the configuration specifies 50 and 100 nodes in a flat space with a size of 1000m × 1000m with single source and destination with possible of multiple routes. Both the physical layer and the 802.11 MAC layer are included in the wireless extension of NS2. V. SIMULATOIN RESULTS We evaluate Comparison of ECHERP and PDCH mainly in following metrics using cutting-edge tools in algorithm of PDCH. As per simulation environment worked on different metrics like Average Energy, Control Overhead, Delay and Throughputs. Fig. 1: Double cluster head method 0 1 2 3 4 5 Note BS Main Duster Head Secondary Duster Head
  • 3. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-7, July- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 995 In figure (2) shows comparison of Average Energy of ECHERP and PDCH protocols performed in very balance condition. PDCH consume less energy by comparing with ECHERP. PDCH shows Energy Efficiency in WSN. In figure (3) shows control overhead of data transmission increases smallest with respect to time in seconds. Next in figure (4) which is Delay of both protocols. PDCH have minimum delay. In figure (5) throughput of ECHERP and PDCH. In that ECHERP required more packets than PDCH. Fig.2: Comparison of ECHERP and PDCH in Average Energy Fig.3: Comparison of ECHERP and PDCH in Control overhead Fig.4: Comparison of ECHERP and PDCH in Delay Fig.5: Comparison of ECHERP and PDCH in Throughput VI. CONCLUSION In Hierarchy type of protocols our main objective to elect cluster head with higher energy for better network life span. As per simulation results we observed that each metric shows better performance of PDCH protocol. By election process of double cluster heads we achieved our goals. We hope that the simulation results presented by us will be useful to other researchers to analyses.
  • 4. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-7, July- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 996 REFERENCES [1] A. Boulis, Castalia: A Simulator for Wireless Sensor Networks and Body Area Networks: Version 3.2: Users Manual, IEEE Standard 802.15.4, 2010. [2] Ankit Thakkar and Ketan Kotecha, “Cluster head election for energy and delay constraint application of wireless sensor network,” IEEE Sensors Journal, vol. 14, no. 8, August 2014. [3] J. N. Al-Karaki and A. E. Kamal, “Routing techniques in wireless sensor networks: A survey,” IEEE Wireless Commun., vol. 11, no. 6, pp. 6-24, Dec. 2004. [4] M. Younis, M. Youssef, and K. Arisha, “Energy- aware routing in cluster based sensor networks,” in Proc. 10th IEEE Int. Symp. MASCOTS, Oct. 2002, pp. 129–136. [5] S. Bai, W. Zhang, G. Xue, J. Tang, and C. Wang, “DEAR: Delay bounded energy-constrained adaptive routing in wireless sensor networks,” in Proc. IEEE INFOCOM, Mar. 2012, pp. 1593–1601. [6] S.-S. Chiang, C.-H. Huang, and K.-C. Chang, “A minimum hop routing protocol for home security systems using wireless sensor networks,” IEEE Trans. Consum. Electron. , vol. 53, no. 4, pp. 1483– 1489, Nov. 2007. [7] Stefanos A. Nikolidakis and Dionisis Kandris, “Energy efficient routing in wsn through balance clustering,” Article ISSN 6, 29-42, Algorithm 2013 [8] S. Lindsey and C. S. Raghavendra, "PEGASIS: Power-efficient gathering in sensor information systems," in IEEE Aerospace Conference Proceedings, vol. 3, pp. 1125-1130, March 2002. [9] S. Lindsey, C. Raghavendra and K. M. Sivalingam, "Data Gathering algorithms in sensor networks using the energy metric," in , IEEE Transactions on Parallel and Distributed Systems, vol. 13, Issue 9, pp. 924- 935, Sep. 2002. [10]Wang Linping, Cai Zhen, Bi Wu and Wang Zufeng, "Improved algorithm of PEGASIS protocol introducing double cluster heads in wireless sensor network," in International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE), vol. 1, pp. 148-151, Changchun, Aug. 2010. [11]YU Yong-chang, WEI Gang, "An Improved PEGASIS Algorithm in Wireless Sensor Network," in the proceedings of Acta Electronica Sinica, vol. 36, pp. 1309- 1313, July 2008.