WSN下移动充电器基于能量的路径优化  

Energy based path selection optimization for WSN mobile charger

作　　者：曾子维[1] 王瑞琪 李莹 ZENG Ziwei;WANG Ruiqi;LI Ying(School of Software,University of Science and Technology Liaoning,Anshan 114051,China)

机构地区：[1]辽宁科技大学软件学院,辽宁鞍山114051

出　　处：《辽宁科技大学学报》2018年第3期205-211,共7页Journal of University of Science and Technology Liaoning

摘　　要：为延长WSN的使用寿命,针对可充电传感器节点再充电问题进行了进一步的研究,基于低能耗的路径选择优化,提出了一种能量分簇式优化路径算法ECOPA。在分簇式充电算法的基础上进行优化,并考虑到真实情况下移动充电器携带的能量有限,提出一种新的全局性能量充电模式GEC。添加了一个特殊充电器Libero在其他充电器返回服务站充电时,进行全局充电。本文提出的算法有效降低了高能耗节点死亡,从而达到维持网络稳定的功能,进而延长了WSN的使用寿命。To extend the life of WSN mobile chargers,the problem associated with the recharge of rechargeable sensor nodes was further investigated.Based on low-energy consumption path selection optimization,an energy clustered optimization algorithm(ECOPA)was developed and optimized based on the cluster recharging algorithm.Considering that in real situations the mobile chargers carriy limited amount of energy,a new global energy charging(GEC)mode was proposed that,by adding a special charger(Libero),can achieve global charging as other chargers return to service stations.The algorithm proposed in this paper effectively reduces the death of the high-energy consumption nodes so as to maintain the stability of the network and thus extend the life of the WSN mobile chargers.

关 键 词：无线传感器网路 移动充电 路径选择 能量分簇 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]