摘要
为提高系统能量效率,延长网络的生命周期,基于认知网络提出一种节点自适应休眠调度算法。每一个节点通过其单位时间内接收/发送的数据包统计情况,自适应决定是否进入休眠状态及休眠时间。研究此算法针对不同源速率的节点平均能耗及端到端时延性能,与节点不休眠和周期性休眠方案做性能比较。仿真结果表明,所提算法在一定条件下能降低节点能耗,减少时延,分析得出了针对不同源速率及端到端延时要求的最佳自适应休眠时间。
To improve the system energy efficiency and extend the lifetime of the network,an adaptive sleep node scheduling algorithm was proposed based on cognitive network.Each node decided adaptively whether to enter the sleep state and its sleep time by counting the number of receiving/sending packets in unit time.This algorithm was used to study the average energy consumption of nodes and end-to-end delay performance with different source rates,and it was compared with the non-sleep node scheme and periodic sleep scheme in the aspects of performance.Simulation results show that the proposed algorithm can reduce not only the energy consumption of nodes,but the delay under certain conditions,and the optimal adaptive sleep time is analyzed and obtained due to different source rates and end-to-end delay requirements.
作者
李哲
宋梁
LI Zhe;SONG Liang(School of Information Engineering,Henan University of Science and Technology,Luoyang 471000,China)
出处
《计算机工程与设计》
北大核心
2018年第4期933-937,948,共6页
Computer Engineering and Design
关键词
认知网络
自适应
周期
休眠调度
能耗
时延
cognitive network
adaptive
periodic
sleep scheduling
energy consumption
delay
