Optimized Clustering Protocol for Balancing Energy in Wireless Sensor Networks.

DinaM Omar; AhmedM Khedr; DharmaP Agrawal

Author(s)

DinaM Omar Department of Mathematics, University of Zagazig, Egypt

AhmedM Khedr Department of Computer Science, University of Sharjah, Sharjah 27272, UAE,

DharmaP Agrawal Department of Electrical Engineering and Computing Systems, University of Cincinnati, Cincinnati, OH, 45221-0030, USA

Abstract

While wireless sensor networks (WSNs) are increasingly equipped to handle more complex functions and innetwork processing may require these battery powered sensors to judiciously use their constrained energy to prolong the effective network lifetime. Cluster-based Hierarchical Routing Protocol using compressive sensing (CS) theory (CBHRP-CS) divides the network into several clusters, each managed by a set of CHs called a header. Each member of the header compresses the collected data using CS. This paper proposes an optimized clustering protocol using CS (OCP-CS) to improve the performance of WSNs by exploiting compressibility. In OCP-CS, each cluster is managed by a cluster head (CH). CHs are selected based on node concentration and sensor residual energy, and performs data aggregation using CS to reduce the energy consumed in the process of data sampling and transmission. Simulations show that our proposed protocol is effective in prolonging the network lifetime and supporting scalable data aggregation than existing protocols.

Publication Details

Page(s) 367-375

DOI DOI not available

Published Journal: International Journal of Communication Networks and Information Security, Volume: 9, Issue: 3, Year: 2017

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