移动延迟容忍传感网络拥塞控制算法研究

针对移动延迟容忍传感网络拥塞而造成的节点内缓存数量预测不准,数据传输延时速度过慢,数据分组投递成功率低等问题,提出一种移动延迟容忍传感网络拥塞控制算法。算法是基于节点状态感知的,构建移动延迟容忍传感网络拥塞预测机制,依据机制中所获取的历史缓存信息感知节点状态,对拥塞严重或中度拥塞的节点缓存队列内的数据进行信息聚合,提出拥塞控制的策略。最后通过仿真可得数据分组投递率、数据分组丢包率及响应时间、消息产生率。实验结果表明,所提出的拥塞控制算法能够预测缓存数量准确,减少数据传输时延,保证数据分组投递成功率,提高整个网络的工作效率。

Research of Congestion Control Algorithm for Mobile Delay Tolerance Sensor Network

At present,the movement delay tolerant sensor network congestion leads to inaccurate prediction for the number of caches in node.Meanwhile,the data transmission delay is high and the date packet delivery rate is low.Therefore,an algorithm to control the congestion of movement delay tolerant sensor network was proposed.This algorithm was based on node state sensing.Firstly,the prediction mechanism of mobile delay tolerant sensor network congestion was established.Secondly,the history cache information obtained by the mechanism was used to sense the node state,so as to aggregate the data in cache queue of nodes with severe congestion or moderate congestion,and then the congestion control strategy was proposed.Finally,the packet delivery rate,data packet loss rate and response time and message generation rate were obtained by simulation.Simulation results show that the proposed algorithm can accurately predict the number of caches,reduce the delay of data transmission,ensure the success rate of data packet delivery and improve the working efficiency of network.