Research On Data’s Fusion And Time’s Alignment On The Wireless Sensor Network

Data’s fusion is very important technology in wireless sensor’snetwork which can deal with redundant information very well. As thedata’s fusion can not solve the inconsistency of time, so the different timeof the time should be aligned to the same time. The matching method ofthe least squares can achieve the time’s alignment, it is only suitable forthe uniform case, but it is not suitable for the non-uniform condition, sothe algorithm is should be improved. Values of former algorithm only useone derivative, when the target motion is variable motion, we mustconsider two derivative. The improved matching method of least squaresis suitable for the case of uniformly accelerated motion, the simulationalso verifies the feasibility of this method. When the data`s time isaligned, the fusion of the different sensor’s data will be achieved.The protocol of the hierarchical routing protocol’s clusters isresearched as a model, the paper proposes a hierarchical fusion’salgorithm. The main idea of the hierarchical fusion’s algorithm is: Thetransmitted process from the sensor’s nodes to the sink’s node is dividedinto three layers on the collected data, according to the differentcharacteristics of each layer of the collected data, the algorithm ofdifferent data’s fusion should be acquired accordingly. On the collecteddata from the members of the cluster, we should used the averagingmethod, the energy of communication’s data from the data’s source willbe reduced. In the acquired cluster’s data from the cluster head node,because each member node’s reliability and accuracy of the acquisitivedata is not the same, so the data fusion algorithm based on fuzzy theoryshould be acquired, we should receive node’s data from each member indifferent way; More energy will be consumed when the cluster head senddata to the sink nodes, the mechanism of threshold’s estimation will begetted for data’s fusion in the process. We Will be able to effectively eliminate the redundant of data in the network,, we also can save thenode’s energy of consumption, then we can prolong the life of WSN.