Optimized Deployment Strategy of Mobile Agents in Wireless Sensor Networks

Sixth International Conference on Intelligent Systems Design and Applications Pub Date : 2006-10-16 DOI:10.1109/ISDA.2006.253730

Xue Wang, Sheng Wang, Aiguo Jiang

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引用次数: 18

Abstract

Energy consumption is critical and the processing ability and memory of sensor nodes are limited in wireless sensor networks. Mobile agent technology can decrease energy consumption and boost network performance. Inadequate deployment of mobile agents might lead to network failure due to constraint bandwidth. In this paper, a deployment strategy of mobile agents in wireless sensor networks, which integrates the creation sequence, priority and energy consumption of mobile agents, is proposed. Genetic algorithm is engaged to optimize the strategy. Then the energy consumption and time delay of mobile agent model are compared with client/server model. The simulation results indicate that the optimized deployment strategy of mobile agents can efficiently decrease the energy consumption and time delay in wireless sensor network, and improve the real-time ability. Thus, the network lifetime is prolonged and the real-time ability is boosted. Finally, the performance of optimized deployment strategy of mobile agents has been validated in quality inspection on manufacturing

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无线传感器网络中移动代理的优化部署策略

在无线传感器网络中，能量消耗是关键，传感器节点的处理能力和内存有限。移动代理技术可以降低网络能耗，提高网络性能。由于带宽限制，移动代理部署不足可能导致网络故障。提出了一种综合考虑移动代理创建顺序、优先级和能耗的无线传感器网络移动代理部署策略。采用遗传算法对策略进行优化。然后比较了移动代理模型与客户端/服务器模型的能耗和时延。仿真结果表明，优化后的移动代理部署策略能够有效降低无线传感器网络的能耗和时延，提高网络的实时性。从而延长了网络的生存期，提高了网络的实时性。最后，在制造质量检测中验证了优化后的移动代理部署策略的性能

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Sixth International Conference on Intelligent Systems Design and Applications

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