摘要
为解决无线传感器网络的能耗问题.提出了一种刻画能耗的新算法EEGSO(Energy Efficiency based on Glowworm Swarm Optimization).首先给出有效转发能效比定义和目标优化函数,同时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EEGSO算法与其它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.研究结果表明:相比于其它算法,EEGSO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) was 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, compared with other algorithm,EEGSO algorithm has better adaptability.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2013年第12期1686-1690,共5页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金资助项目(60372013)
四川省教育厅重点资助项目(13ZA0118)
人工智能四川省重点实验室开放基金资助项目(2012RYY02)
四川理工学院培育项目(2012PY13)
关键词
无线传感器网络
能耗
转发能效比
目标函数
优化
萤火虫群
性能
仿真
wireless sensor network
energy efficiency
energy efficiency ratio
objective function
optimization
glowworm swarm
performance
simulation
