无线传感器网络中一种ARMA流量预测的拥塞控制算法

在无线传感器网络中,由于各节点的通信能力、计算能力、存储能力等都比较有限,使其需采取有别于传统网络的拥塞控制策略.本文针对传感网络特有的多对一、多跳通信方式经常导致网络拥塞的缺陷,提出一种基于流量预测的拥塞避免算法(SCATP).该算法通过ARMA模型分析流经各节点的当前流量,预测网络下一时刻的拥塞状况,并据此进行流量分配,从而实现拥塞控制的同时保证数据的可靠传输.仿真实验表明,SCATP算法在延迟、抖动率、吞吐量和能量有效性等方面能有效改善网络的服务质量.

An Congestion Control Algorithm for Wireless Sensor Networks Based on ARMA Traffic Prediction

In wireless sensor networks(WSNs),each node′s communication capability,computing power and storage capacity are relatively limited,making the congestion control strategy is different from traditional networks.This paper proposes a congestion control algorithm which is called SCATP(sensor networks congestion avoidance algorithm based on traffic prediction),for solving the unique problem of WSNs which often leads to network congestion situation because of the many-to-one and multi-hop communication.This algorithm uses ARMA model to analysis of the current flow through each node and forecasts the network′s future congestion condition,and then allocates traffic,achieving the purpose of congestion control and reliable data transmission.Simulation results show that SCATP can improve network quality of service among the aspects of delay,jitter,throughput,energy efficiency,etc.