摘要
无线传感器网络中定向扩散算法周期性地进行探测分组扩散时采用的是洪泛方式,这样会给网络带来巨大负载,严重影响网络的传输性能。提出一种改进的蚁群算法并将其应用于定向扩散协议中,算法中将定向扩散中的梯度建立在蚁群的信息素与网络节点剩余能量基础上,在寻找优化路径的同时,使网络节点能量得到均衡消耗。通过仿真实验验证了新方法的可行性,仿真结果表明新方法有效地控制了网络节点能量的均衡消耗,延长了整个网络的生存周期。
The periodical diffusion of exploratory data adopts flooding diffusion in Directed Diffusion for wireless sensor networks. This way will inevitably lead to heavy traffic load and affect severely transmis- sion performance of networks. An improved ant colony algorithm is proposed and applied to Directed Diffu- sion algorithm. The foundation of gradients is based on pheromone of ants and remain energy of nodes in new algorithm, which could balance the energy consumption of networks. The simulation experiment proves new method＇s feasibility,and the simulation results indicate that the new algorithm could effectively controls energy consumption of networks and prolong survivability of networks.
出处
《传感技术学报》
CAS
CSCD
北大核心
2008年第7期1226-1231,共6页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金资助项目(60672137)
教育部博士点基金资助项目(20060497015)
关键词
无线传感器网络
定向扩散
梯度
蚁群算法
洪泛路由
wireless sensor networks
directed diffusion
gradients
ant colony algorithm
flooding routing
