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In order to suppress effectively the effects of RSSI error to wireless sensor networks node localization's precision in pervasive computing environment, individual diversity difference coefficient, distance difference coefficient and distance difference localization equation is defined based on the analysis of the models of maximum likelihood estimation and RSSI. The closest beaconing node to object node as reference node corrects measure distance based on RSSI by difference method. A distance difference localization algorithm is put forward through combining difference correction method and maximum likelihood estimation method. This localization algorithm needn't additional hardware spending, easy to be realized and its localization error is less than 2.5 m, therefore it is fit for localization of WSN node whose operation ability and power supply are restricted.
Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on (Volume:1 )
Date of Conference: 6-8 Oct. 2008