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基于粒子群优化的双层WSN分簇与路由算法

Particle Swarm Optimization Based Two-layer Routing and Clustering Algorithm
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摘要 已有的大规模无线传感器网络协议有些模型提出不现实的假设,有些性能有待提高,利用粒子群算法易于实现、复杂度较低的优点,提出了一种基于改进粒子群优化的双层WSN分簇与路由算法。首先,将WSN的分簇与路由问题表示成线性规划形式:然后。将节点的优先级作为粒子编码的引导信息,对粒子编码,并将无线传感器的多个性能参数作为优化目标,建立多目标的适应度函数;最终,利用求解结果对网络进行分簇并建立路由树。基于现实网络参数的仿真实验结果表明,该算法在分簇覆盖率、能量效率上均具有一定的优势。 The existing protocols of big scale wireless sensor networks are based on some unrealisticassumptions, part of the protocols show low performance, an improved particle swarm optimization basedtwo-layer WSN clustering and routing algorithm is proposed with the advantage of PSO such as easyimplementation and low computation complexity. Firstly, the linear program formulation for the clustering androuting problems is set up; then, the indirect priority encoding schema is applied to particle coding, the priorityinformation is treated as the guiding information, and multiple performance parameters of the network are setas optimal targets, and a multi-target fitness function is constructed; lastly, the best solution is used forclustering and constructing the routing tree. Realistic network parameters based simulation experiment resultsshow that the proposed schema has better performance in clustering coverage and energy consumption.
作者 李刚 王伟 LI Gang, WANG Wei2 (1. Department of Computer Engineering, Shanxi Architectural College, Taiyuan 030006, China; 2.School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China)
出处 《控制工程》 CSCD 北大核心 2017年第7期1359-1365,共7页 Control Engineering of China
关键词 无线传感器网络 粒子群优化 线性规划 网络路由 网络分簇 Wireless sensor network particle swarm optimization linear program network route networkclustering
作者简介 李刚(1980-),男,山西太原人,研究生,讲师,主要从事计算机网络、云计算等方面的教学与科研工作: 王伟(1982-),男,山西太原人,博士,讲师,主要从事智能控制,过程智能控制等方面的教学与科研工作。
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  • 1沈波,张世永,钟亦平.无线传感器网络分簇路由协议[J].软件学报,2006,17(7):1588-1600. 被引量:249
  • 2张晶,徐智福,孙岩.一种新的基于簇头优化的WSN路由协议[J].传感技术学报,2009,7(22):1013-1017. 被引量:1
  • 3Liu Q, Huang X H, and Leng S P. Deployment strategy of wireless sensor networks for Internet of Things[J]. China Communications, 2011, 8(8): 111-120. 被引量:1
  • 4Viani F, Rocca P, Oliveri G, et al. Localization, tracking, and imaging of targets in wireless sensor networks: an invited review[J]. Radio Science, 2011, DOI: 10.1029/2010RS004561. 被引量:1
  • 5Emeka E E and Abraham O F. A survey of system architecture requirements for health care-based wireless sensor networks[J]. Sensors, 2011, 11(5): 4875-4898. 被引量:1
  • 6Fernando L, Antonio-Javier G, Felipe G, et al. A comprehensive approach to WSN-based ITS applications: a survey[J]. Sensors, 2011, 11(11): 10220-10265. 被引量:1
  • 7Cristina A, Pedro S, Andr6s I, et al. Wireless sensor networks for oceanographic monitoring: a systematic review[J]. Sensors, 2010, 10(7): 6948-6968. 被引量:1
  • 8Ni Lione M, Yunhao Liu, and Yanmin Zhu. China's national research project on wireless sensor networks[J]. IEEE Wireless Communications, 2007, 14(6): 78 83. 被引量:1
  • 9Ldpez T S, Kim Dae-young, wireless sensors and RFID dynamic context networks[J] 240-267. Canepa G H, et al. Integrating tags into energy-efficient and Computer Journal, 2009, 52(2):. 被引量:1
  • 10Liao Pei-kai, Chang Min-kuan, and Kuo C J. A statistical approach to contour line estimation in wireless sensor networks with practical considerations[J]. IEEE Transactions on Vehicular Technology, 2009, 58(7): 3579 3595. 被引量:1

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