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无线传感器网络中基于伸展树的感知节点分布优化 被引量：4

Sensor Distribution Optimization Based on Extending-tree in Sensor Network
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摘要 In a sensor network, reasonable distribution of sensor nodes will do much good to the improvement of sensorial ability. In a sensor network constructed by randomly scattering, a better sensing coverage can be achieved by topology adjustment utilizing mobility of some sensor nodes. To solve this problem, we define an extending-tree in the sensor network using Voronoi diagrams and Delaunay network. On this base, a new optimization algorithm of sensor node distribution based on genetic algorithm is designed, which provides a sound effective means to improve the sensorial ability of network. Simulation output shows that this algorithm can achieve an optimizing node distribution in the object area, by which sensorial ability of the whole sensor network can be improved at a relatively low cost. In a sensor network, reasonable distribution of sensor nodes will do much good to the improvement of sensorial ability. In a sensor network constructed by randomly scattering, a better sensing coverage can be achieved by topology adjustment utilizing mobility of some sensor nodes. To solve this problem, we define an extending-tree in the sensor network using Voronoi diagrams and Delaunay network. On this base, a new optimization algorithm of sensor node distribution based on genetic algorithm is designed, which provides a sound effective means to improve the sensorial ability of network. Simulation output shows that this algorithm can achieve an optimizing node distribution in the object area, by which sensorial ability of the whole sensor network can be improved at a relatively low cost.
作者 闻英友 冯永新 王光兴
机构地区 Northeastern University Shneyang Ligong Univeristy
出处 《自动化学报》 EI CSCD 北大核心 2005年第5期737-742,共6页 Acta Automatica Sinica
基金 国家高技术研究发展计划(863计划)
关键词 无线传感器网络 伸展树 感知节点 分布优化 Sensor network, ad hoc, distribution optimization, genetic algorithm
分类号 TP212 [自动化与计算机技术—检测技术与自动化装置]
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参考文献11

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同被引文献37

  • 1崔莉,鞠海玲,苗勇,李天璞,刘巍,赵泽.无线传感器网络研究进展[J].计算机研究与发展,2005,42(1):163-174. 被引量：730
  • 2王睿,梁彦,潘泉,程咏梅.无线传感器网络信息感知中的自组织算法[J].自动化学报,2006,32(5):829-833. 被引量：16
  • 3Akyildiz F,Su W,Sanakamaniam Y.Wireless sensor networks:A survey[J].IEEE Computer Networks,2002,38(4):393-422.
  • 4Hill J,Szewczyk R,Woo A,et al.System architecture directions for networked sensors[C].Int Conf on Architectural Support for Programming Languages and Operating Systems.New York:ACM Press,2000:93-104.
  • 5Meguerdichian S,Koushanfar F,Potkonjak M,et al.Coverage problem in wireless ad-hoc sensor networks[C].IEEE INFOCOM.Anchorage:IEEE Press,2001:1380-1387.
  • 6Dhillon S,Chakrabarty K.Sensor placement for effective coverage and surveillance in distributed sensor networks[C].IEEE Wireless Communications and Networking Conf.New Orleans:IEEE Press,2003:1609-1614.
  • 7Huang Chi-fu,Tseng Yu-chee.The coverage problem in a wireless sensor network[C].ACM WSNA' 03.New York:ACM Press,2003:115-121.
  • 8Slijepcevic S,Potkonjak M.Power efficient organization of communication[C].IEEE Communication Society.Helsinki:IEEE Press,2001:472-476.
  • 9Lin F Y S,Chiu P L.A near-optimal sensor placement algorithm to achieve complete coverage in sensor networks[J].IEEE Communications Letters,2005,9(1):43-45.
  • 10Yan I,He T,Stankovic J A.Differentiated surveillance for sensor networks[C].Int Conf on Embedded Networked Sensor Systems.New York:ACM Press,2003:51-62.

引证文献4

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自动化学报
2005年 第5期

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