A hierarchical DV-Hop localization algorithm based on RSSI with self-localization weighted offset correction

Abstract

The classic DV-Hop (Distance Vector Hop) localization algorithm in wireless sensor networks not only has poor performance in non-regular random topology networks, but also relies heavily on the local network topology for localization accuracy in uniform random topology networks. To address this issue, this paper proposes a hierarchical DV-Hop localization algorithm (H-DV Hop RSIWOC) based on RSSI and self-positioning weighted offset correction. The best error estimation of the whole network is deduced by self-localization of the anchor nodes; the unknown nodes in the whole network are graded and localized level by level, and for the initial localization results, the best estimation error circle and RSSI circle are constructed, and the offset vectors and offset weights are computed, and the weighted offset corrections are applied to the initial localization coordinates. The simulation results indicate that within an identical experimental setting, compared with the classical DV-Hop algorithm and other improved algorithms, H-DV-Hop-RSIWOC possesses higher localization accuracy and stability in non-regular random topological networks, and also shows excellent algorithmic performance in uniform random topological networks.