Energy-Efficient Protocol for Deterministic and Probabilistic Coverage In Sensor Networks

Aug 8, 20120 likes214 views

The document proposes a new probabilistic coverage protocol (PCP) for sensor networks that can employ different sensing models. PCP aims to address the costly task of designing and testing different coverage protocols for each sensing model. It works with common disk sensing models as well as probabilistic sensing models with minimal changes. Simulation results show that PCP outperforms other deterministic and probabilistic protocols in terms of number of activated sensors, total energy consumed, and network lifetime while being robust against failures and inaccuracies.

Energy-Efficient Protocol for Deterministic and Probabilistic Coverage

In Sensor Networks

Scope:

To analyze coverage protocols in Wireless Sensor Networks

Abstract:

Various sensor types, e.g., temperature, humidity, and acoustic, sense physical

phenomena in different ways, and thus, are expected to have different sensing models.

Even for the same sensor type, the sensing model may need to be changed in different

environments. Designing and testing a different coverage protocol for each sensing model

is indeed a costly task. To address this challenging task, we propose a new probabilistic

coverage protocol (denoted by PCP) that could employ different sensing models. We

show that PCP works with the common disk sensing model as well as probabilistic

sensing models, with minimal changes. We analyze the complexity of PCP and prove its

correctness. In addition, we conduct an extensive simulation study of large-scale sensor

networks to rigorously evaluate PCP and compare it against other deterministic and

probabilistic protocols in the literature. Our simulation demonstrates that PCP is robust,

and it can function correctly in presence of random node failures, inaccuracies in node

locations, and imperfect time synchronization of nodes. Our comparisons with other

protocols indicate that PCP outperforms them in several aspects, including number of

activated sensors, total energy consumed, and network lifetime.

Ambit lick Solutions
Mail Id : Ambitlick@gmail.com , Ambitlicksolutions@gmail.Com

Existing System:

Designing and testing a different coverage protocol for each sensing model is

indeed a costly task.

Problem Definition:

• Not too realistic

- Wastes sensor capacity: signals don’t fall abruptly

• chance to detect events after coverage

- Activates more sensors 􀃎 more interference, shorter

• network lifetime

- Protocols my not function in real environments

Proposed System:

• A new probabilistic coverage protocol (denoted by PCP) that could

employ different sensing models

• large-scale sensor networks

• Simple, energy efficient

• Robust against clock drifts, failures, location inaccuracy

Ambit lick Solutions
Mail Id : Ambitlick@gmail.com , Ambitlicksolutions@gmail.Com

• One model does not fit all sensor types

• PCP is designed with limited dependence on sensing model can be used

with various sensor types

• PCP can use disk sensing model as well

SYSTEM REQUIREMENTS:

Hardware Requirements:

Processor : Intel Dual Core 1.6 GHz
Ram : 512 MB
HDD : 80 GB S (10 GB *)
Monitor : View sonic 17” Tft
Network Card : On Board
Mother Board : Intel 945g Original Mother Board

Software Requirements:

Operating System : Win2000/XP / Linux 9.0
Programming Package : JAVA, C++, Tcl scripting
Tools : Eclipse, VM ware Workstation

Ambit lick Solutions
Mail Id : Ambitlick@gmail.com , Ambitlicksolutions@gmail.Com

PCP Architecture diagram:

Exponential
Sensor Sensing Least Active
node Covered sensors
Model Sensor

PCP
Selectio
n
Activation
AODV Protocol message to
(1-hop) neighbor node

Wait state

Coverage
time Save
Energy

Ambit lick Solutions
Mail Id : Ambitlick@gmail.com , Ambitlicksolutions@gmail.Com

REFERENCES

[1] I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless Sensor

Networks: A Survey,” Computer Networks, vol. 38, no. 4, pp. 393-422, Mar. 2002.

[2] G. Xing, X. Wang, Y. Zhang, C. Lu, R. Pless, and C. Gill, “Integrated Coverage and

Connectivity Configuration for Energy Conservation in Sensor Networks,” ACM Trans.

Sensor Networks, vol. 1, no. 1, pp. 36-72, Aug. 2005.

[3] Z. Zhou, S. Das, and H. Gupta, “Connected K-Coverage Problem in Sensor

Networks,” Proc. Int’l Conf. Computer Comm. And Networks (ICCCN ’04), pp. 373-

378, Oct. 2004.

[4] H. Zhang and J. Hou, “Maintaining Sensing Coverage and Connectivity in Large

Sensor Networks,” Ad Hoc and Sensor Wireless Networks: An Int’l J., vol. 1, nos. 1/2,

pp. 89-123, Jan. 2005.

[5] S. Shakkottai, R. Srikant, and N. Shroff, “Unreliable Sensor Grids: Coverage,

Connectivity, and Diameter,” Ad Hoc Networks, vol. 3, no. 6, pp. 702-716, Nov. 2005.

Ambit lick Solutions
Mail Id : Ambitlick@gmail.com , Ambitlicksolutions@gmail.Com

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Energy-Efficient Protocol for Deterministic and Probabilistic Coverage In Sensor Networks

1. Energy-Efficient Protocol for Deterministic and Probabilistic Coverage In Sensor Networks Scope: To analyze coverage protocols in Wireless Sensor Networks Abstract: Various sensor types, e.g., temperature, humidity, and acoustic, sense physical phenomena in different ways, and thus, are expected to have different sensing models. Even for the same sensor type, the sensing model may need to be changed in different environments. Designing and testing a different coverage protocol for each sensing model is indeed a costly task. To address this challenging task, we propose a new probabilistic coverage protocol (denoted by PCP) that could employ different sensing models. We show that PCP works with the common disk sensing model as well as probabilistic sensing models, with minimal changes. We analyze the complexity of PCP and prove its correctness. In addition, we conduct an extensive simulation study of large-scale sensor networks to rigorously evaluate PCP and compare it against other deterministic and probabilistic protocols in the literature. Our simulation demonstrates that PCP is robust, and it can function correctly in presence of random node failures, inaccuracies in node locations, and imperfect time synchronization of nodes. Our comparisons with other protocols indicate that PCP outperforms them in several aspects, including number of activated sensors, total energy consumed, and network lifetime. Ambit lick Solutions Mail Id : [email protected] , [email protected]

2. Existing System: Designing and testing a different coverage protocol for each sensing model is indeed a costly task. Problem Definition: • Not too realistic - Wastes sensor capacity: signals don’t fall abruptly • chance to detect events after coverage - Activates more sensors 􀃎 more interference, shorter • network lifetime - Protocols my not function in real environments Proposed System: • A new probabilistic coverage protocol (denoted by PCP) that could employ different sensing models • large-scale sensor networks • Simple, energy efficient • Robust against clock drifts, failures, location inaccuracy Ambit lick Solutions Mail Id : [email protected] , [email protected]

3. • One model does not fit all sensor types • PCP is designed with limited dependence on sensing model can be used with various sensor types • PCP can use disk sensing model as well SYSTEM REQUIREMENTS: Hardware Requirements: Processor : Intel Dual Core 1.6 GHz Ram : 512 MB HDD : 80 GB S (10 GB *) Monitor : View sonic 17” Tft Network Card : On Board Mother Board : Intel 945g Original Mother Board Software Requirements: Operating System : Win2000/XP / Linux 9.0 Programming Package : JAVA, C++, Tcl scripting Tools : Eclipse, VM ware Workstation Ambit lick Solutions Mail Id : [email protected] , [email protected]

4. PCP Architecture diagram: Exponential Sensor Sensing Least Active node Covered sensors Model Sensor PCP Selectio n Activation AODV Protocol message to (1-hop) neighbor node Wait state Coverage time Save Energy Ambit lick Solutions Mail Id : [email protected] , [email protected]

5. REFERENCES [1] I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless Sensor Networks: A Survey,” Computer Networks, vol. 38, no. 4, pp. 393-422, Mar. 2002. [2] G. Xing, X. Wang, Y. Zhang, C. Lu, R. Pless, and C. Gill, “Integrated Coverage and Connectivity Configuration for Energy Conservation in Sensor Networks,” ACM Trans. Sensor Networks, vol. 1, no. 1, pp. 36-72, Aug. 2005. [3] Z. Zhou, S. Das, and H. Gupta, “Connected K-Coverage Problem in Sensor Networks,” Proc. Int’l Conf. Computer Comm. And Networks (ICCCN ’04), pp. 373- 378, Oct. 2004. [4] H. Zhang and J. Hou, “Maintaining Sensing Coverage and Connectivity in Large Sensor Networks,” Ad Hoc and Sensor Wireless Networks: An Int’l J., vol. 1, nos. 1/2, pp. 89-123, Jan. 2005. [5] S. Shakkottai, R. Srikant, and N. Shroff, “Unreliable Sensor Grids: Coverage, Connectivity, and Diameter,” Ad Hoc Networks, vol. 3, no. 6, pp. 702-716, Nov. 2005. Ambit lick Solutions Mail Id : [email protected] , [email protected]

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