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논문검색

A Novel Energy Entropy Based on Clusterhead Selection Algorithm for Wireless Sensor Networks

초록

영어

Energy is the primary constraint on designing wireless sensor networks (WSNs) practically, leading to limited network lifetime of WSN. Different communication protocols and algorithms are investigated to find ways to reduce power consumption. Cluster formation and clusterhead selection are critical issues in WSN, which can prolong the lifetime and also improve the network’s performance. In order to maintain the stability of clusters, energy of wireless sensor nodes and connectivity are taken as the basis of clusterhead election. We consider the problem of appropriate clusterhead selection in WSNs. This paper proposes a Novel Energy Entropy Based on Clusterhead Selection Algorithm for WSNs (EE-CSAW). The protocol constructs a new metric of node stability and selects a stable clusterhead with the help of entropy metric to reduce the number of clusterhead reconstruction. It selects the nodes which have the most weight and stability to be the clusterheaders. Simulations demonstrate the performance benefits of our proposal EE-CSAW over SLEACH and Thein’s proposed algorithm in WSNs.

목차

Abstract
 1. Introduction
 2. Related Work
 3. 3 Energy Entropy Based on Clusterhead Selection Algorithm for WSNs (EE-CSAW)
  3.1. Network Model
  3.2. Energy Consumption Model
  3.3. Energy Entropy Clusterhead Selection
  3.4. Clusterhead Election Process
 4. Simulation Experiments
  4.1. Simulation Model and Performance Metrics
  4.2. Simulation Results
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Kun Xiao School of Information Engineering, Hubei University of Economics, Wuhan 430205, Hubei Province, P. R. China
  • Baolin Sun School of Information Engineering, Hubei University of Economics, Wuhan 430205, Hubei Province, P. R. China
  • Chao Gui School of Information Engineering, Hubei University of Economics, Wuhan 430205, Hubei Province, P. R. China
  • Hua Chen College of Mathematics & Computer Science, Wuhan Textile University, Wuhan 430065, Hubei Province, P. R. China

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