摘要
无线传感器网络(Wireless Sensor Networks,WSN)中发生拥塞时,距离Sink节点不同传输距离的节点之间,会产生带宽分配的不公平.针对这种不公平性,本文从理论上进行了证明,并提出一种考虑公平性的量子粒子群拥塞控制算法(QPIDDF):在PID队列管理算法中引入量子粒子群算法,以适应无线传感网络的复杂环境,从而缓解传感网络的节点级拥塞;根据网络拥塞状况和分组传输距离,对距离Sink不同传输距离的节点之间的进队列概率进行重新调整,以此来提高网络负载公平性.通过NS2仿真分析表明,该机制能较好的控制节点的队列长度,对网络的公平性与能耗性能有较好的改善.
In wireless sensor networks （ WSN ）, when congestion occurs, the bandwidth allocationbetween nodes that away from differ- ent transmission distances will loss fairness. To address this challenge,this paper theoretically proved it and proposed a congestion con- trol mechanism which concernsabout fairness. In the first, the mechanism introduces QPSO algorithm into the PID Queue Management to avoid the node＇s buffer overflow and adapt to the complex environment of WSN. Secondly,it combines the network congestion sta- res and packet transmission distance to dynamically manage the queue. NS2 simulation shows that the mechanism achieves better Qos in terms of throughput, queue length and energy consumption.
出处
《小型微型计算机系统》
CSCD
北大核心
2015年第6期1244-1248,共5页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(61273073)资助
