Abstract: The perceptual layer is at the most front-end of information collection, which plays a fundamental role in the internet of things. How to improve the perception layer node positioning accuracy is one of the important research projects in IOT industry because of the limit of energy. This article focuses on the origin DV-Hop arithmetic’s shortage by using all anchor node equal to the unknown node positioning, introduces the concept of minimum angle trust and proposes the minimum angle trust localization algorithm on IOT’s perceptual layer, that is DV-Hop_Toma. Simulation results, by using Matlab, show that DV-Hop_Toma improves the positioning precision comparing to the original algorithms.
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Key words: wireless sensor networks, node localization, trilateral measurement method, DV-Hop_Toma algorithm