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Energy Efficient Backoff Hierarchical Clustering Algorithms for Multi-Hop Wireless Sensor Networks

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【作者】 王珺曹涌涛谢俊元陈世福

【Author】 Jun Wang 1,2,3 Yong-Tao Cao 4Jun-Yuan Xie 1,2 Member,CCF and Shi-Fu Chen 1,2 1 State Key Lab for Novel Software Technology at Nanjing University,Nanjing 210093,China 2 Department of Computer Science and Technology,Nanjing University,Nanjing 210093,China 3 Institute of Communication and Information Engineering,Nanjing University of Posts and Telecommunications Nanjing 210003,China 4 China Development Center,Trend Micro Corp.,Nanjing 210012,China

【机构】 State Key Lab for Novel Software Technology at Nanjing UniversityDepartment of Computer Science and Technology,Nanjing UniversityInstitute of Communication and Information Engineering,Nanjing University of Posts and TelecommunicationsChina Development Center,Trend Micro Corp.

【摘要】 Compared with flat routing protocols,clustering is a fundamental performance improvement technique in wireless sensor networks,which can increase network scalability and lifetime.In this paper,we integrate the multi-hop technique with a backoff-based clustering algorithm to organize sensors.By using an adaptive backoff strategy,the algorithm not only realizes load balance among sensor node,but also achieves fairly uniform cluster head distribution across the network.Simulation results also demonstrate our algorithm is more energy-efficient than classical ones.Our algorithm is also easily extended to generate a hierarchy of cluster heads to obtain better network management and energy-efficiency.

【Abstract】 Compared with flat routing protocols,clustering is a fundamental performance improvement technique in wireless sensor networks,which can increase network scalability and lifetime.In this paper,we integrate the multi-hop technique with a backoff-based clustering algorithm to organize sensors.By using an adaptive backoff strategy,the algorithm not only realizes load balance among sensor node,but also achieves fairly uniform cluster head distribution across the network.Simulation results also demonstrate our algorithm is more energy-efficient than classical ones.Our algorithm is also easily extended to generate a hierarchy of cluster heads to obtain better network management and energy-efficiency.

【基金】 Supported by the National Natural Science Foundation of China under Grant No. 60872018,60721002,60875038;the National Basic Research 973 Program of China under Grant No. 2007CB310607;SRFDP Project under Grant No. 20070293001;the Science and Technology Support Foundation of Jiangsu Province under Grant No. BE2009142 and BE2010180;the Scientific Research Foundation of Graduate School of Nanjing University under Grant No. 2011CL07
  • 【文献出处】 Journal of Computer Science & Technology ,计算机科学技术学报(英文版) , 编辑部邮箱 ,2011年02期
  • 【分类号】TP212.9;TN929.5
  • 【被引频次】7
  • 【下载频次】75
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