一种新的无线传感器网络中节点所处环境状态预测算法研究

Research on a New Algorithm for the Prediction of the Environment State of Nodes in Wireless Sensor Networks

本文根据节点所收集的数据所对应的环境,以及预测得出的准确数据以及以状态准则作为依据对下一时刻监测环境所处的状态进行预测,将这一状态通过字符来做标记,将标记内容传送到其他节点,并且将搜集的数据信息想象为马尔科夫链,另外根据本身具有一定差异的灰色模式做出进一步完善,从而取得评价状态的方法,并提出了在无线网络状态之下的二次无偏的判定方式。仿真实验结果表明,本文提出的的算法能适应在无线传感网络状态分类的判定方式,方便合理的判定根据概率特性进行划分的环境状态。

According to the corresponding data environment, clear target node data monitoring, according to the accurate data and to predict state standards as a basis for the next time to monitor the state of the environment forecast, this state will be marked by the character, the mark content transmitted to other nodes, and will collect the data as Markoff chain, according to the grey model itself has a certain difference and make further improvement, so as to achieve the method of evaluating the state, and put forward under the state of the wireless network two unbiased grey determination. Simulation results show that the proposed algorithm can adapt to the state of the wireless sensor network, and it is convenient and reasonable to determine the state of the environment based on the probability characteristics.