An improved localization scheme for mobile aquaculture WSNs based on the Improving Dynamic Population Monte Carlo Localization (I-DPMCL) method is proposed. Multiple iterations, sample impoverishment and less sample diversity, leading to low localizing efficiency, are the most usual problems demanding to be solved in these SMC-based methods. Most range-free localization schemes for mobile WSNs are based on the Sequential Monte Carlo (SMC) algorithm. Localization is one of the essential problems in wireless sensor applications (WSNs). IET Generation, Transmission & Distribution.IET Electrical Systems in Transportation.IET Cyber-Physical Systems: Theory & Applications.IET Collaborative Intelligent Manufacturing.
CAAI Transactions on Intelligence Technology.
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