摘要
在无线传感器节点能量有限的条件下,如何使网络寿命最大化是无线传感器网络研究的重点,均衡网络能量消耗是延长网络寿命的一个有效方法。在蚁群算法的基础上引入了模糊理论的概念,提出了一种ACO for Fuzzy Theory算法,根据节点剩余能量、通信距离、邻居节点数目和信息素等因素采用模糊综合评判法进行下一跳节点的选择。仿真实验表明,与基于能量有效蚁群算法(EEABR)进行比较,相同条件下AFT算法有效地减少了网络平均能量消耗,增强了网络节点的存活率。
How to maximize the life span of the network under the wireless sensor nodes with limited energy conditions is a research focus, Balaced the energy distribution of network is a effective way.A routing protocol of WSN is raised based on Ant Colony Algorithm and Fuzzy Theory（AFT）,it selects next nodes according to node’s en-ergy,communication distance,the number of neighbor nodes and pheromones. The simulation results with MATLAB show that the AFT can reduce the average energy comsuption effectively and increase node survival compared to EE-ABR.
出处
《激光杂志》
CAS
CSCD
北大核心
2014年第7期59-62,共4页
Laser Journal
关键词
无线传感器网络
蚁群算法
模糊理论
模糊综合评判
能量均衡
Wireless Sensor Network（WSN）
Ant Colony Algorithm
Fuzzy Theory
Fuzzy Comprehensive Evaluation Method
Energy Balance
