A fuzzy weights location algorithm in WSNs is proposed

target coordinate can be searched by comparing accumulated weights from RSSI of each detecting node. It’s an innovation method which can live a high-accuracy in low SNR because of its fuzziness and can adapt to different signal attenuating speed attribute to its flexible fuzzy degree. The proposed method performs a high stability in mono-target location application. There is also a deeper analysis in application to multi-target location

a transformed model is developed in allusion to multi-target location. Multiple targets coordinate is extracted successfully through defuzzification algorithm.Experimental result is evaluated

and restriction condition to multi-target location is proposed.