期刊导航

论文摘要

无线传感器网络节能动态任务分配

Energy-efficient Dynamic Task Allocation in Wireless Sensor Networks

作者:沈艳(电子科技大学 机械电子工程学院,四川 成都 610054);郭兵(四川大学 计算机学院,四川 成都 610065);丁杰雄(电子科技大学 机械电子工程学院,四川 成都 610054)

Author:(School of Mechatronics Eng.,Univ. of Electronic Sci. and Technol. of China,Chengdu 610054,China);(School of Computer Sci.,Sichuan Univ., Chengdu 610065,China);(School of Mechatronics Eng.,Univ. of Electronic Sci. and Technol. of China,Chengdu 610054,China)

收稿日期:2007-09-11          年卷(期)页码:2008,40(4):143-147

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:无线传感器网络;任务分配;粒子群优化算法;节能

Key words:wireless sensor network;task allocation;particle swarm optimization algorithm;energy efficient

基金项目:国家自然科学基金资助项目(50675031);国家科技部863计划资助项目(2008AA01Z105)

中文摘要

为了延长网络生存期,减少网络能量消耗,在分析现有无线传感器网络任务分配机制的基础上,提出一种面向分层结构、多跳传感器网络的节能任务分配方法。该算法根据节点工作状态、剩余能量以及能耗,基于熵理论,建立代价函数,结合粒子群优化算法,实现优化任务分配策略。同时,针对无线传感网络动态变化使当前的任务分配策略可能不再是最优的情况,对任务进行动态调整。仿真实验结果表明该分配机制能有效减少无线传感网络计算时间和网络能耗,提高网络寿命。

英文摘要

In oreder to prolonge the lifetime and reduce the energy consumption of the wireless sensor networks,a energy efficient task allocation method oriented to layer structure and multi hop sensor network was proposed based on the task allocation in the wireless sensor networks. This method described a cost function based on entropy theory according to energy consumption, residual energy, and the states of each individual node. Particle swarm optimization algorithm was used to optimize dynamic task allocation.Meanwhile, the tasks can be dynamic adjusted due to sensor network changing.The simulation results showed that the execution time and energy consumption can be decreased, the lifetime of wireless sensor network is prolonged with the proposed method.

关闭

Copyright © 2020四川大学期刊社 版权所有.

地址:成都市一环路南一段24号

邮编:610065