基于ARMA预测的无线监控系统可靠传输机制

无线监控网络易受衰减、多径、盲区等不利因素影响,经常出现局部节点负载过大而导致拥塞现象的发生,导致数据可靠传输得不到保障.从拥塞控制角度,提出了一种基于拥塞预知的改进的拥塞控制算法.该算法基于主动避免拥塞的设计思想,在选取路由时考虑链路质量指标LQI,并依据ARMA预报算法获得未来时刻的网络流量预报值,由此判断节点的拥塞程度以便预先采取措施,最终实现拥塞自适应控制.实验结果表明,该算法能提升无线监控系统数据传输的可靠性,并能显著提高吞吐量.

Reliable Transmission Mechanism of Wireless Monitoring System Based on ARMA Prediction

Congestion phenomenon occurs frequently in wireless monitoring network as excessive load of some local node, which is caused by some negative factors such as attenuation, multipath, blind and so on, and then lead to reliable data transmission can not be guaranteed. From the view of congestion control, a predictable based congestion control algorithms based on the design idea of initiative to avoid the congestion is proposed to realize adaptive congestion control which considers link quality indicator LQI when selecting a new route, and obtains the network traffic forecast future values according time series ARMA prediction algorithm, thus determine the congestion degree of a node to take measures in advance. The experimental results show that, the algorithm can improve the reliability of the wireless monitoring system of data transmission, and can improve the throughput.