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Fault Tolerance Through Energy Balanced Cluster Formation (EBCF) in WSN

  • Hitesh MohapatraEmail author
  • Amiya Kumar Rath
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 851)

Abstract

The term networking evolved with the concept of information interchange among set of connected nodes. The evolution of network architecture and the demand of information from both domestic and hostile environment expanded the network deployment nature. The normal computational nodes are not suitable for mass and harsh deployments hence, the nodes replaced with motes in later stage. The networking of motes is known as wireless sensor network(WSN). In WSN, the data collected through sensors and communicated over wireless medium to the base station(BS). The sensor nodes (SN) and BS can be connected either in single-hop or multi-hop fashion Paradis (Surv Fault Manag Wirel Sens Netw, 5:171–190, 2007, [16]). The architecture of WSN constrained with low energy, low memory, and low computational capacity hence, unlike normal networking, the frequency of fault occurrence in WSN is comparatively more. The fault can occur by means of several reasons Kim et al. (IEEE, 627–637, 2007, [7]). In this paper, we have focused on energy depletion-based fault occurrence. Here, we proposed an Energy Balanced Cluster Formation(EBCF) algorithm to stabilize the life span of clusters and maintaining energy equilibrium among clusters strength. The proposed algorithm is suggested for heterogeneous environment where the sensor nodes(SNs) are mobile in nature. The method is most suitable for hostile and non-attainable environment.

Keywords

Wireless sensor network Heterogeneous Fault tolerance 

Notes

Acknowledgements

I would like to thank my Ph.D. Supervisor, Prof. A. K. Rath for his guidance and for providing free hand for research. I also thankful to VSSUT, TEQIP 3 for the sponsorship to attend the conference.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Veer Surendra Sai University of Technology BurlaSambalpurIndia

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