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无线传感器网络中基于能量优化的路由协议ANT-LEACH 被引量:11

ANT-LEACH:LEACH routing protocol integrated energy optimization by ant colony optimization in wireless sensor network
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摘要 经典路由协议LEACH采用自适应分簇算法,簇头与基站直接通信,因此一旦二者距离较远,则这种单跳传输方式将消耗较多能量,并最终导致整个网络运行失效。提出一种改进的基于能量优化的路由协议ANT-LEACH,该协议将蚁群优化算法融入到簇头选路过程中,重点引入引力度函数概念对蚁群选择概率公式和信息素更新规则进行改进,充分考虑簇头节点的剩余能量,在簇头与基站之间找到一条能量最优路径,变单跳为多跳传输方式。仿真结果表明该协议有效地降低了节点能耗,延长了网络的生存时间,并保证了整个网络负载的平衡。 The classical routing protocol Low Energy Adaptive Clustering Hierarchy(LEACH) adopts adaptive clustering algorithm,and cluster heads communicate directly with base station.The longer the distance,the more energy will be consumed in the way of single-hop transmission.Eventually,the whole network will be out of work.An advanced routing protocol based on energy optimization named ANT-LEACH was proposed,which adopted the strategy of combining the Ant Colony Optimization algorithm with routing process of cluster head nodes.This protocol introduced lead force function to improve the ant transition probability and the pheromone updating rule.And it would take full account of the cluster head nodes' residual energy,make sure to find the optimal path between cluster heads and base station,and change the single-hop transmission to multi-hop.The simulation results demonstrate that this algorithm can effectively reduce nodes' energy consumption,prolong the lifetime of whole network and ensure load balance.
作者 王林 潘军
出处 《计算机应用》 CSCD 北大核心 2011年第11期2891-2894,共4页 journal of Computer Applications
关键词 无线传感器网络 低功耗自适应分簇协议 蚁群优化算法 引力度函数 Wireless Sensor Network(WSN) Low Energy Adaptive Clustering Hierarchy(LEACH) protocol Ant Colony Optimization(ACO) lead force function
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  • 1AKYILDIZ I F, SU W, SANKARASUBRAMANIAM Y. A survey on sensor networks [ J]. IEEE Communications Magazine, 2002, 40 (8): 102-114.
  • 2FAN XIANGNING, SONG YULIN. Improvement on LEACH proto- col of wireless sensor network[ C] // SensorComm 2007: Internation- al Conference on Sensor Technologies and Applications. Washing- ton, DC: IEEE Computer Society, 2007:260-264.
  • 3郭永玲,王潜平.无线传感器网络分簇路由协议的研究[J].计算机与信息技术,2007(12):57-58. 被引量:7
  • 4FAN YIMING, YU JIANJUN. The communication protocol for wire- less sensor network about LEACH[ C]//CISW 2007: International Conference on Computational Intelligence and Security Workshops. Harbin: IEEE, 2007:550 -553.
  • 5SALLIM J, ABDULLAH R, KHADER A T. ACOPIN: An ACO al- gorithm with TSP approach for clustering proteins from protein inter- action network[ C]//Second UKSIM European Symposium on Com- puter Modeling and Simulation. Washington, DC: IEEE Computer Society, 2008:203-208.
  • 6DORIGO M, LUCA MARIA GAMRARDELLA. Ant colony system: A cooperative learning approach to the traveling salesman problem [ J]. IEEE Transactions on Evolutionary Computation, 1997, 1 ( 1 ) : 53 - 66.
  • 7DOB.IGO M, BLUMB C. Ant colony optimization theory: A survey [ J]. Theoretical Computer Science , 2005, 344(2/3) : 243 - 278.
  • 8OKDEM S, KARABOGA D. Routing in wireless sensor networks u- sing ant colony optimization[ C]// First NASA/ESA Conference on Adaptive Hardware and Systems. Washington, DC: IEEE Computer Society, 2006:401-404.
  • 9WANG GUIFENG, WANG YONG, TAO XIAOLING. An ant colony clustering routing algorithm for wireless sensor networks[ C]//Third In- ternational Conference on Genetic and Evolutionary Computining. Washington, DC: IEEE Computer Society, 2009:670 -673.

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