Abstract
In recent years, with the development of sensor technology and wireless communication technology, wireless sensor network (WSN) as the technology for information acquisition and processing is widely applied in many fields. It is important for nodes to know their localizations for further applications. In this article, a range-free localization algorithm in WSN that builds upon the Monte Carlo Localization (MCL) algorithm is proposed. It concentrates on improving the sampling efficiency by changing the weights of samples. More specifically, mobility is used to improve the sampling efficiency to make sure MCL can perform well even when the sample number is low.
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