基于ARMA的无线传感器网络流量预测模型的研究
doi: 10.3724/SP.J.1146.2005.01387
Research on the ARMA-Based Traffic Prediction Algorithm for Wireless Sensor Network
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摘要: 无线传感器网络(WSN)的流量预测研究对于WSN管理具有至关重要的意义。基于WSN的特点，结合自回归滑动平均(ARMA)模型，该文提出了一个面向WSN的流量预测算法。仿真结果表明，该算法具有较高的预测精度；利用本算法对WSN的多路径路由机制进行改进后，可进一步提高WSN的生存期。Abstract: The importance of traffic prediction in Wireless Sensor Network (WSN) should not be disregarded. Concerning the ARMA model，a traffic prediction algorithm is proposed based on its own traffic characters. Simulation results show that the presented algorithm can provide high accuracy. Furthermore, using the proposed algorithm to improve the multi-paths route scheme can extend the lifetime of the whole WSN by remaining load evenly distributed among several paths.
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