一种均衡时延和精确性的自适应融合算法研究

摘要

针对无线传感器网络中时延小和精确性高不能兼得这一状况，提出了一种建立在博弈模型基础上的均衡时延和精确性的自适应数据融合方法。该方法将所有网络节点根据能耗最优进行分簇，簇头与监控中心通过博弈来自适应地选择不同融合因子的融合算法使整个网络的总效益最大。实验仿真表明，在丢包率不同时，自适应融合算法可以得到最佳的融合因子，有效实现了时延和精确性的均衡。该方法为无线传感器网络中各个指标的折中提供了参考方向。%As small transmission delay and high data accuracy can not both be gotten in wireless sensor network,this paper put forward an adaptive data aggregation method based on the game model to balance delay and accuracy.The method divided all the network nodes into clusters based on optimal energy consumption,each cluster head selected adaptively different aggrega-tion coefficient algorithms through game with the monitoring center to maximum total efficiency.Experiment simulation shows this algorithm can achieve optimal aggregation coefficient in different data loss situations,realizes the balance of delay and ac-curacy effectively.It provides a reference direction for the compromise of various indicators in wireless sensor network .