摘要
针对无线传感器网络中数据传输的不同要求,将QoS分为3类,根据无线链路的特点提供区分服务。利用博弈论分析了数据传输在延迟、可靠性与网络能量开销之间的关系,基于改进的蚁群优化算法ACS(ant colony system),设计了区分服务路由算法ADSGR(ant colony system based differentiated service and game-theory routing),依据不同QoS要求,选择适当的路由,提高网络的整体性能和资源利用率。实验结果表明,与现有算法相比,该算法在数据传输的延迟、可靠性和能量开销上具有更好的性能。
Aiming at the different requirements of data transmission in wireless sensor networks, QoS was divided into three services. By using game theory, the relationship among the delay, reliability and energy consumption during the process of data transmission was analyzed. Based on ACS （ant colony system）, ACS based differentiated service and game-theory routing （ADSGR） was proposed. In accordance with the diverse QoS requirements, the ADSGR chooses the suitable paths, and improves network performance and resource utility. Experimental results show the ADSGR has better performance than some other routing algorithms in terms of the delay, reliability and energy consumption.
出处
《通信学报》
EI
CSCD
北大核心
2013年第10期106-115,共10页
Journal on Communications
基金
国家自然科学基金资助项目(60803131)
中央高校基本科研业务基金资助项目(N110818001
N100218001)
沈阳市科技计划基金资助项目(1091176-1-00)~~
关键词
无线传感器网络
蚁群优化
区分服务
博弈论
QOS路由
wireless sensor network
ant colony system
differentiated service
game theory
QoS routing
