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基于概率覆盖模型的无线传感器部署 被引量：2

Wireless Sensor Placement Based on Probability Coverage Model
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摘要 在给定每个离散的网格点的覆盖度要达到K,精确度达到T的条件下,提出了一种基于概率模型的覆盖算法,并在Matlab中进行模拟.将该算法与平均算法、随机算法的模拟结果相比较,得出在相同前提下该算法所需的传感器数目最少. Under the condition that the coverage of each discrete grid point is K and the precision is T,a new covering algorithm based on the probability model was proposed,which can be simulated with Matlab.Simulation results showed that the least sensors are needed in this new algorithm compared with the mean algorithm and the randomized algorithm.
作者 张文争 张传林 付文超
机构地区 暨南大学信息科学技术学院
出处 《海南大学学报（自然科学版）》 CAS 2010年第3期248-251,共4页 Natural Science Journal of Hainan University
基金 广东省科技计划项目(2009B01080030) 国家自然科学基金天元基金项目(10926141)
关键词 网格点覆盖 概率传感模型 贪婪启发式算法 grid coverage probabilistic sensor model greedy heuristic algorithm
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献7

  • 1ZHANG Chuan-lin,BAI Xiao-le,TENG Jin,et al.Constructing low-connectivity and full-coverage three dimensional sensor networks[J].IEEE Journal on Selected Areas in Communications,2010,28(7):1-10.
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  • 3BAI Xiao-le,ZHANG Chuan-lin,XUAN Dong,et al.Low-connectivity and full-coverage three dimensional wireless sensor networks[C]∥Proceedings of the Tenth International Symposium on Mobile Ad-hoc Networking and Computing(ACMMOBIHOC),New York:ACM,2009:145-154.
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二级参考文献4

  • 1DHILLON SS, CHAKRABARTY K, IYENGAR S. Sensor Placement for Grid Coverage under Imprecise Detections[ A]. Proceedings of International Conference on Information Fusion[ C], 2002.
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共引文献7

同被引文献12

  • 1Bar- Shalom Y.. Muhitarget Multisensor Track- ing : Applications and Advances [ M ]. Boston : Ar- tech House, 1992.
  • 2WangX., MaJ. J., WangS., etal.. Distrib- uted energy optimization for target tracking in wireless sensor networks [ J]. IEEE Transac- tions on Mobile Computing, 2009, 9 (1) : 73 - 86.
  • 3Ristic B. , Arulampalam S. , Gordon N.. Be- yond the Kalman Filter: Particle Filters for Tracking Applications [ M ]. Boston: Artech House, 2004.
  • 4Tharmarasa R. , Kirubarajan T. , Sinha A. , et al.. Decentralized sensor selection for large - scale muhisensor- multitarget tracking [ J ]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47[2] : 1307 - 1324.
  • 5Zhang X.. Decentralized sensor- coordination optimization for mobile multi - target tracking in wireless sensor networks[ C ]. IEEE Global Tel- ecommunications Conference. Miami: IEEE, 2010:1-5.
  • 6Shirin K. , Karim F. , and Amjad O.. Modified discrete binary PSO based sensor placement in WSN networks [ C ]. International Conference on Computational Intelligence and Communica- tion Systems, Bhopal, 2010 : 200 - 204.
  • 7Li Z. M. , Lei L.. Sensor node deployment in wireless sensor networks based on improved par- ticle swarm optimization [ C ]. Proceedings of 2009 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, Chengdu, 2009 : 215 - 217.
  • 8王雪,马俊杰,王晟.无线传感网络中覆盖能效动态控制优化策略[J].控制理论与应用,2007,24(6):964-968. 被引量：4
  • 9赵砚,张寅生,易东云,张倩.基于PCRLB的低轨星座对自由段多目标的多传感器调度算法[J].宇航学报,2011,32(4):842-850. 被引量：9
  • 10乐阳,龚健雅.Dijkstra最短路径算法的一种高效率实现[J].武汉测绘科技大学学报,1999,24(3):209-212. 被引量：241

引证文献2

海南大学学报（自然科学版）
2010年 第3期

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