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基于遗传优化策略的传感器配置算法 被引量:3

Sensor Placement Algorithm Based on Genetic Optimized Strategy
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摘要 传感器配置是传感器网络研究的核心问题之一.传感器网络配置可以有效布置传感器网络节点、合理覆盖感知数据区域、延长感知区域传感器网络的运行周期,既能够准确地采集感知区域的数据信息,又能够充分管理传感器网络资源.本文提出了在传感区域中一个有效的基于遗传算法策略的的传感器配置算法,算法目标在于优化传感器数量并且确定它们的位置以支持分布式传感器网络.实验结果表明这种算法非常有效. Sensor placement is one of the key topics addressed in sensor networks,which can place nodes of sensor networks effectively,cover the field for sensing data reasonably and prolong running lifetime for sensor networks.It can not only collect data accurately for sensing field,but also manage the resource adequately for sensor networks.In this paper,an effective sensor placement algorithm based on genetic algorithm strategy on the sensing area was proposed,which is aimed to optimize the number of sensors and determine their position to support distributed sensor networks.Experimental results show that this algorithm is effective.
出处 《佳木斯大学学报(自然科学版)》 CAS 2011年第1期61-64,共4页 Journal of Jiamusi University:Natural Science Edition
基金 黑龙江省教育厅科学技术研究项目(11531276) 佳木斯大学科研项目(L2008-050)
关键词 传感器网络 配置算法 感知区域 检测概率 sensor network placement algorithm sensor area probability of detection
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参考文献4

  • 1A.Howard,M.J.Mataric,and G.S.Sukhatme," Mobile Sensor Network Deployment Using Potential Fields:A Distributed.Scal-able Solution to the Area Coverage Problem," Proc,International Symposium on Disturbuted Autonomous Robotics Systems,pp,299-308,2002.
  • 2K.Chakrabarty,S.S.lyengar.H.Qi and E.Cho,"Grid Coverage for Surveillance and Target Location in Distributed Sensor Net-works," IEEE Transactions on Computers,vol 51,pp.1448-1453,December 2002.
  • 3K.Chakrabarty,S.S.Iyengar,H.Qi and E.Cho,"Coding Theory Framework for Target Location in Distributed Sensor Net-works",Proc.International Symposium on Information Technolo-gy:Coding and Computing,pp.130-134,2001.
  • 4S.S.Dhillon and K.Chakrabarty,"Sensor Placement for Ef-fective Coverage and Surveillance in Distributed Sensor Net-works",Proc.IEEE Wireless Communications and Networking Conference,pp.1609-1614,2003.

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