基于格拉布斯准则的DS证据理论在WSNs中的应用

摘要

In order to prolong the service life of the wireless sensor networks( WSNs),on the premise of ensure the validity and accuracy of datas,using a two-layer data fusion algorithm to process datas,reduce the amount of data transmitting. Through combined utilization of the two algorithms,Grubbs criteria and DS evidence theory are combined for weighting and compressing. The experimental datas show that the amount of data transmission is reduced effectively and efficiency of transmission is improved. It saves the energy cost in the process of data transmission.%为了延长无线传感器网络（ WSNs）的使用寿命，在确保数据的有效性和准确性的前提下，采用一种两层的数据融合算法来对数据进行处理，减小传输的数据量。通过联合使用这两种算法，格拉布斯和DS证据理论的联合来对数据进行加权和压缩处理。实验数据表明：算法的使用有效地减少了数据量传输，提高了数据的传输效率，节省了数据传输过程中耗费的能量。