A Secured Load Balanced Clustering Algorithm for Wireless Sensor Network

Abstract

Wireless sensor networks are composed of large number of power constrained nodes, which needs an energy conservation protocols to reduce the energy consumption as much as possible. Clustering is a standard approach for achieving efficient and scalable performance in wireless sensor networks. Motivated by the former research of clustering algorithm, the objective of this project is to study a Balanced Clustering Algorithm with Distributed SelfOrganization for Wireless Sensor Networks (DSBCA), which can deal with stochastic distribution of sensor nodes. The purpose of DSBCA is to generate clusters with more balanced energy and avoid creating clusters with many nodes, since, too many members in a cluster may bring about excessive energy consumption in management and communication. The clusters near the base station also forward the data from further clusters, because all clusters need to communicate with the base station, but longdistance wireless communication consumes more energy. In DSBCA a Cluster Head is selected based on the connection density, residual energy and times of being elected as Cluster Head. Thus this algorithm can enhance the network lifetime.

Authors and Affiliations

Anju Sebastian, Kingsly Stephen R. , Dr. P. S. K Patra

Keywords

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  • EP ID EP27911
  • DOI -
  • Views 258
  • Downloads 0

How To Cite

Anju Sebastian, Kingsly Stephen R. , Dr. P. S. K Patra (2014). A Secured Load Balanced Clustering Algorithm for Wireless Sensor Network. International Journal of Research in Computer and Communication Technology, 3(4), -. https://europub.co.uk/articles/-A-27911