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无线传感器网络中多移动代理分组优化算法
引用本文:冯新龙,陈志军,蔡玮,曾文华.无线传感器网络中多移动代理分组优化算法[J].系统仿真学报,2010(12).
作者姓名:冯新龙  陈志军  蔡玮  曾文华
作者单位:1. 新疆大学数学与系统科学学院,乌鲁木齐830046;
2. 首尔国立大学工学院,韩国l51-472:科学技术部火炬高技术产业开发中心,北京100045
3. 厦门大学软件学院,厦门361005;
摘    要:在基于多移动代理的无线传感器网络中,源节点的编组方法是区别于单移动代理系统的核心研究问题。基于跳数的最小生成树原理,提出一种基于最小生成树算法的规划编组方式,通过对无向全连通图中边权值的测量和选取,简单而有效地控制网络中能量消耗与任务延迟间的平衡,从而获得高效的综合性能。最后通过大量的OPNET仿真实验验证了算法的可靠性。
Abstract:
In contrary to the single mobile agent system,the grouping methodology for source nodes is the key issue in multi-agent itinerary planning for wireless sensor networks.A novel approach was proposed based on hop-oriented minimum spanning tree.The scheme achieves flexible trade-off control between energy cost and task duration by dynamically selecting edge weights in the total connected graph.Extensive simulations have shown that the approach outperforms the existing works.

关 键 词:移动代理  行程规划  最小生成树  无线传感器网络

Multi-Agent Grouping Algorithm in Wireless Sensor Networks
FENG Xin-long,CHEN Zhi-jun,CAI Wei,ZENG Wen-hua.Multi-Agent Grouping Algorithm in Wireless Sensor Networks[J].Journal of System Simulation,2010(12).
Authors:FENG Xin-long  CHEN Zhi-jun  CAI Wei  ZENG Wen-hua
Abstract:In contrary to the single mobile agent system,the grouping methodology for source nodes is the key issue in multi-agent itinerary planning for wireless sensor networks.A novel approach was proposed based on hop-oriented minimum spanning tree.The scheme achieves flexible trade-off control between energy cost and task duration by dynamically selecting edge weights in the total connected graph.Extensive simulations have shown that the approach outperforms the existing works.
Keywords:mobile agent  itinerary planning  minimum spanning tree  wireless sensor networks
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