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Volume 31 Issue 5
Dec.  2010
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Huang He-qing, Shen Jie, Yao Dao-yuan, Ma Kui, Liu Hai-tao. An Energy-Driven Adaptive Cluster Head Rotation Algorithm for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1040-1044. doi: 10.3724/SP.J.1146.2008.00358
Citation: Huang He-qing, Shen Jie, Yao Dao-yuan, Ma Kui, Liu Hai-tao. An Energy-Driven Adaptive Cluster Head Rotation Algorithm for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1040-1044. doi: 10.3724/SP.J.1146.2008.00358

An Energy-Driven Adaptive Cluster Head Rotation Algorithm for Wireless Sensor Networks

doi: 10.3724/SP.J.1146.2008.00358
  • Received Date: 2008-03-31
  • Rev Recd Date: 2008-07-14
  • Publish Date: 2009-05-19
  • Cluster-based Topology is an energy-efficient topology control method in large-scale wireless sensor networks. The cluster head depletes energy more faster than cluster member and the rotation of cluster head is needed to balance the energy consumption for the whole network. In this paper, ACRA is presented, which rotation energy thredhold is estimated using cluster head real-time energy load. The simulation result show that comparing with LEACH and EDAC, ACRA minimizes the rotation times, prolongs the network lifetime.
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  • Ahmed A and Mohamed Y. A survey on clusteringalgorithms for wireless sensor networks[J].Comput. Commun.2007, 30(14-15):2826-2841[2]Heinzelman W R, Chandrakasan A, and Balakrishnan H.Energy-efficient communication protocol for wirelessmicrosensor networks. In Proceedings of the 33rd AnnualHawaii International Conference on System Sciences, Hawaii,2000: 10-15.[3]Younis O and Fahmy S. HEED: A hybrid, energy-efficient,distributed clustering approach for Ad hoc sensor networks[J].IEEE Trans. on Mobile Computing.2004, 3(4):366-379[4]Chan H and Perrig A. ACE: An Emergent Algorithm forHighly Uniform Cluster Formation. in Wireless SensorNetworks: First European Workshop, EWSN 2004, Berlin,2004.Wang Y, Zhao Q, and Zheng D. Energy-driven adaptiveclustering data collection protocol in wireless sensor networks.In International Conference on Intelligent Mechatronics andAutomation, Chengdu, 2004: 599-604.[5]Gamwarige S and Kulasekere E. An algorithm for energydriven cluster head rotation in a distributed wireless sensornetwork. In Proceedings of the International Conference onInformation and Automation(ICIA2005), Hong Kong, 2005:354-359.[6]Gamwarige S and Kulasekere C. Optimization of cluster headrotation in energy constrained wireless sensor networks. InIFIP International Conference on Wireless and OpticalCommunications Networks,WOCN'07, Singapore, 2007: 1-5.Wu Y, Chen Z, and Jing Q, et al.. LENO: LEast rotationnear-optimal cluster head rotation strategy in wireless sensornetworks. In 21st International Conference on AdvancedNetworking and Applications, AINA'07, Canada, 2007:195-201.[7]Su H and Zhang X. Energy-efficient clustering system modeland reconfiguration schemes for wireless sensor networks. InProc. 40th Conference on Information Sciences and Systems(CISS 2006), Princeton, 2006: 99-104.[8]Foss S G and Zuyev S A. On a Voronoi Aggregative ProcessRelated to a Bivariate Poisson Process. Advances in AppliedProbability, 1996, 28(4): 965-981.[9]Heinzelman W B, Chandrakasan A P, and Balakrishnan H, etal.. An application-specific protocol architecture for wirelessmicrosensor networks. IEEE Trans. on WirelessCommunications, 2002, 1(4): 660-670.[10]Misra R and Mandal C. ClusterHead Rotation via DomaticPartition in Self-Organizing Sensor Networks. In 2ndInternational Conference on Communication SystemsSoftware and Middleware, COMSWARE 2007, Bangalore,2007: 1-7.
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