A Novel Opinion Dynamics Model Based Clustering Protocol in High-level Heterogeneous WSN

Authors

  • R Muthalagi  Department of Information Technology, Sri Venkateswara College of Engineering, Chennai, Tamil Nadu, India
  • P Leela Rani  Department of Information Technology, Sri Venkateswara College of Engineering, Chennai, Tamil Nadu, India

Keywords:

Heterogeneous wireless sensor networks, clustering algorithms, advanced stable election protocol, Four-level stable election protocol, HODs model, Stability region, Packet delivery ratio, Network lifetime, Throughput ratio.

Abstract

In Wireless Sensor Networks (WSNs), many sensor nodes, with restricted energy, co-operate to accomplish a sensing task. In WSN, the key issue for designing the protocol is energy efficiency because sensor nodes have limited battery. Many modern protocols have been proposed to extend the lifetime of the network by using the battery power efficiently. In this project, a novel opinion dynamics model based clustering protocol has been developed for prolonging the stability period using different levels of heterogeneity such as 4-level, 5-level, 6-level, 7-level in terms of node energy. An opinion model is used for optimal cluster head election via LEACH mechanism. The opinions are updated using social influence factors. It is shown that the stability period is improved. Also the packet delivery ratio is improved for most of the stable zone.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-06-30

Issue

Volume 2, Issue 3, May-June-2017

Section

Research Articles

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Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
R Muthalagi, P Leela Rani, " A Novel Opinion Dynamics Model Based Clustering Protocol in High-level Heterogeneous WSN, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.143-155, May-June-2017.