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In this paper, we introduce a new algorithm λ -WFC based on fuzzy cluster into the indoor location of WSN. First, a location fingerprint database is set up and we calculate an optimal value of λ which is a threshold for classifying the RSS vectors in the off-line training phase. Then in the locating phase, after fuzzy clustering has been done, we estimate the degree of similarity between two vectors...
Wireless sensor networks(WSNs), which is utilized in a broad region, is able to monitor and collect various information of different objects. location plays a critical role in WSNs. Currently, many localization algorithms are proposed such as the classical MDS localization algorithm. It has a low accuracy in large scale of sensor network with a lot of nodes. For this defect, this paper proposes a...
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