LNNE: A Neural Network Ensembles-based Localization Algorithm in Wireless Sensor Networks

Jun Zheng and Asghar Dehghani


localization, wireless sensor networks, neural networks


In this paper, we propose LNNE a range-free localization algorithm for wireless sensor networks (WSNs) based on neural network ensembles. The location of a sensor node is estimated by LNNE solely based on the connectivity information of the WSN. Through simulation study, the performance of LNNE is compared with that of two well-known range-free localization algorithms, Centroid and DV-Hop, and a single neural network based localization algorithm, LSNN. The experimental results demonstrate that LNNE consistently outperforms other three algorithms in localization accuracy.

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