Abstract

Position information is of vital importance in the various applications in wireless sensor networks (WSNs). We analyze the features of localization methods considering both precision and energy consumption and propose the idea of hybrid localization system (HLS). HLS is composed of coarse-grained localization system (CGLS) and fine-grained localization system (FGLS). CGLS takes the wireless signal strength as the reference for distance and gets the rough area a unknown node located. According to the trade-off of position precision and energy consumption, FGLS is in charge of location refinement that takes image to localize the unknown node. The experiment results show that the proposed HLS can achieve high position precision and low energy consumption.

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