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《Chinese Journal of Sensors and Actuators》 2015-06
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NBMA-WSNs:Neural Bipartitions Structure Based Multiagent WSNs Fusion Algorithm

TU Xionggang;CHEN Jun;ZHANG Changjiang;College of Mathematics Physics and Information Engineering,Zhejiang Normal University;School of Design and Arts,Zhejiang Industry Polytehnic College;  
In order to further improve the wireless sensor network( WSNS) service life,from the angle of improving the efficiency of data fusion algorithm,,a neural bipartitions structure based multi-agent WSNs fusion algorithm was proposed. Firstly,according to the trunk and branches of the nerve structure bearing different amount of information,the trunk and branches were selected to construst the communication link,then the main,auxiliary center node's selection method was also used. Secondly,the adaptive weighted fusion algorithm based on LMS was designed,which processed the node,the branches and the trunk center level to realize the aggregative for the neural bipartitions structure. Finally,through simulation compared with two existing algorithms,this algorithm shows the advantages at the indicators such as the Sink node'ss packet reception,the energy consumption,and so on,which verified the effectiveness of the algorithm.
【Fund】: 国家自然科学基金项目(61202029 61272449);; 浙江省自然科学基金项目(LY12E05016)
【CateGory Index】: TP202;TP212.9;TN929.5
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