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WSN中基于改进蚁群算法的移动Agent路径规划 被引量:4

Ant Colony Optimization Algorithms-Based Routing Planning of Mobile Agent in WSN
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摘要 在无线传感器网络(Wireless Sensor Networks,简写为WSN)系统中增加了移动Agent,能提高系统的整体性能及工作效率。参考Sink节点的功能及特点,移动Agent具有收集和简单处理信息数据并将其传输到上一级单位的功能,它的移动功能提高了网络的连通性、传感覆盖率及使用寿命等性能。采用传感覆盖率高,能耗相对较小的正六边形网格划分方法部署传感器节点。Sink节点只能在通信范围内收集信息,根据这一特点,在此网络结构中利用蚁群优化算法为移动Agent寻找移动路径,从而达到有效改善网络性能的目的。仿真结果说明了此方法的有效性及特点。 For the purpose of performance improvement of WSN(Wireless Sensor Networks),mobile agent were considered,which are a kind of special nodes-sinks in charge of data collection in WSN.Mobility of agent can improve the performance of whole system,such as connectedness,sense coverage,and energy efficient.An effective structure of regular hexagonal grid plot is chosen,which is suitable for improving connectedness and sense coverage.A route planning for mobile agent is proposed by applying a well designed ant colony optimization algorithms.Finally,the advantages and effectiveness of mobile agent in WSN are illustrated by an example.
作者 王佳
出处 《传感技术学报》 CAS CSCD 北大核心 2011年第4期609-613,共5页 Chinese Journal of Sensors and Actuators
基金 上海高校选拔培养优秀青年教师科研专项基金项目(gjd08051)
关键词 无线传感器网络 移动AGENT 蚁群优化算法 路径规划 wirelee sensor networks mibole agent ant colony optimization routing planning
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二级参考文献41

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