基于萤火虫群优化算法的WSN转发能效研究  

Research on the Energy Efficiency of WSN Based on Glowworm Swarm Optimization

作　　者：赵伟[1] 丁文珂[2] 

机构地区：[1]河南大学国际教育学院,河南开封475001 [2]河南大学计算机与信息工程学院,河南开封475001

出　　处：《河南大学学报（自然科学版）》2013年第5期578-581,共4页Journal of Henan University:Natural Science

摘　　要：为了解决无线传感器网络的能耗问题,提出一种刻画能耗的新算法.该方法首先给出有效转发能效比定义和目标优化函数,然后通过萤火虫群优化算法实现对目标函数的求解.最后,利用NS2进行仿真实验,对比分析了该算法与其他算法之间的性能状况,并深入研究了影响有效转发能效比的关键因素.结果表明该算法具有较好的适应性.In order to mitigate the energy consumption of wireless sensor network, a novel depicted algorithm EEGSO （Energy Efficiency based on Glowworm Swarm Optimization） is proposed for energy consumption based on the previous studies. In this algorithm, the energy efficiency ratio and objective optimization function are defined at first, and glowworm swarm optimization algorithm is presented to solve objective function. Then, a simulation with NS2 was conducted to study the performance between EEGSO and other algorithm, and it was deeply studied the key factors of energy efficiency ratio. The result shows that EEGSO algorithm has better adaptability compared other algorithm.

关 键 词：无线传感器网络 能耗 转发能效比 萤火虫群优化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]