Energy-efficient distance based clustering routing scheme for wireless sensor networks

  • Authors:
  • Young-Ju Han;Seon-Ho Park;Jung-Ho Eom;Tai-Myoung Chung

  • Affiliations:
  • Internet Management Technology Laboratory, Department of Computer Engineering, School of Information and Communication Engineering, Sungkyunkwan University, Suwon-si, Gyeonggi-do, Republic of Kore ...;Internet Management Technology Laboratory, Department of Computer Engineering, School of Information and Communication Engineering, Sungkyunkwan University, Suwon-si, Gyeonggi-do, Republic of Kore ...;Internet Management Technology Laboratory, Department of Computer Engineering, School of Information and Communication Engineering, Sungkyunkwan University, Suwon-si, Gyeonggi-do, Republic of Kore ...;Internet Management Technology Laboratory, Department of Computer Engineering, School of Information and Communication Engineering, Sungkyunkwan University, Suwon-si, Gyeonggi-do, Republic of Kore ...

  • Venue:
  • ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
  • Year:
  • 2007

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Abstract

Clustering scheme enabling the efficient utilization of the limited energy resources of the deployed sensor nodes can effectively prolong the lifetime of wireless sensor networks. The most common technique in famous clustering schemes is a probabilistic clustering scheme based on a randomized cluster-head rotation for distributing the energy consumption among nodes in each cluster. Because most of those schemes utilize mainly the residual energy of each node as the criterion of cluster-head election, those schemes have demerit which the unbalanced energy consumption among cluster-heads is occurred. To overcome this demerit, we consider a distance from the base station to cluster-heads as well as the residual energy as the criterion of cluster-head election for balanced energy consumption among cluster-heads. Our scheme provides fully distributed manner by utilizing local information and good energy-efficiency by load balanced clustering scheme. Through simulation experiments, we showed that the proposed scheme is more effective than LEACH and EECS in prolonging the lifespan of wireless sensor networks.