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首页> 外文会议>International Symposium on Communications and Information Technologies(ISCIT 2005) vol.1; 20051012-14; Beijgin(CN) >Mobile Agent Based Moving Target Monitoring Methods in Wireless Sensor Networks
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Mobile Agent Based Moving Target Monitoring Methods in Wireless Sensor Networks

机译：无线传感器网络中基于移动代理的移动目标监控方法

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摘要

Wireless sensor network consists of vast low-cost nodes whose power and ability are limited. In a wireless sensor network for monitoring moving targets, the real-time optimal combination of nodes can minimize the power consumption of the entire network and the cooperation of nodes can overcome the poor ability of a single node. In this paper, a mobile agent based strategy is proposed which dynamically optimizes the combination of nodes and deploys the tasks among nodes. A method combining Genetic Algorithm (GA) and Hopfield Neural Network (HNN), called HNN-GA, is engaged to select the lowest-power-consumption combination. The nodes are divided into several computational regions according to the principle of balancing abilities and power consumption. Gradual optimization is applied to deploy the tasks and minimize the total time. The experiment results indicate the mobile agent based strategy can save energy and boost the efficiency of computations.
机译：无线传感器网络由功率和能力有限的庞大的低成本节点组成。在用于监视移动目标的无线传感器网络中，节点的实时最佳组合可以最大程度地降低整个网络的功耗，并且节点之间的协作可以克服单个节点的能力不足。在本文中，提出了一种基于移动代理的策略，该策略可动态优化节点的组合并在节点之间部署任务。结合遗传算法（GA）和Hopfield神经网络（HNN）的方法称为HNN-GA，以选择最低功耗的组合。根据平衡能力和功耗的原理，将节点分为几个计算区域。应用逐步优化来部署任务并最大程度地减少总时间。实验结果表明，基于移动代理的策略可以节省能源，提高计算效率。

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