Mobile agent migration modeling and design for target tracking in wireless sensor networks
Mobile agent migration modeling and design for target tracking in wireless sensor networks
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DOI：
10.1016/j.adhoc.2006.07.004
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发表时间：
2008
期刊：
影响因子：
4.8
通讯作者：
Yingyue Xu;H. Qi
中科院分区：
文献类型：
--
作者：
Yingyue Xu;H. Qi
计算范例在无线传感器网络中的协作处理中起着重要和基础的作用。基于客户/服务器的模式和基于移动代理的模式是两种流行的计算模型，用于促进传感器节点之间的协作。本文研究了协同处理中移动代理路径确定的关键问题，并对动态移动代理规划问题进行了建模。然后针对无线传感器网络中的目标跟踪问题，提出了三种路径规划算法：静态路径规划算法、动态路径规划算法和预测动态路径规划算法。我们设计了三个指标(能耗、网络寿命和跳数)，并使用仿真工具定量地衡量了不同路线规划算法的性能。仿真结果表明，与静态行程方法和基于预测动态行程算法的动态行程方法相比，该算法有较大的改善。
Computing paradigms play an important and fundamental role in collaborative processing in wireless sensor networks. The client/server based paradigm and the mobile agent based paradigm are two popular computing models used to facilitate collaboration among sensor nodes. In this paper, we study the key problem of determining the mobile agent itinerary for collaborative processing and model the dynamic mobile agent planning problem. We then present three itinerary planning algorithms, the static, the dynamic, and the predictive dynamic approaches to solve the target tracking problem in wireless sensor networks. We design three metrics (energy consumption, network lifetime, and the number of hops) and use simulation tools to quantitatively measure the performance of different itinerary planning algorithms. Simulation results show considerable improvement over the static itinerary and the dynamic itinerary approaches using the predictive dynamic itinerary algorithm.