Research on Bacterial Foraging Optimization Algorithm for DV-Hop Localization | IEEE Conference Publication | IEEE Xplore

Research on Bacterial Foraging Optimization Algorithm for DV-Hop Localization


Abstract:

Bacterial foraging optimization (BFO) has attracted much attention and been widely applied in a variety of scientific and engineering applications since its inception. Th...Show More

Abstract:

Bacterial foraging optimization (BFO) has attracted much attention and been widely applied in a variety of scientific and engineering applications since its inception. This paper proposes a DV -Hop localization algorithm based on bacterial foraging optimization by analysing the DV -Hop localization algorithm which lack of positioning in the wireless sensor network location. To improve the positioning accuracy of DV -Hop algorithm the algorithm use bacterial foraging algorithm to locate the position of the third step in the DV-Hop unknown node. Experimental results show that the algorithm proposed in this paper has better localization effect than the basic DV _Hop algorithm, and it effectively improves the location accuracy, which proves the validity of our proposed method.
Date of Conference: 27-30 September 2022
Date Added to IEEE Xplore: 08 November 2022
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Conference Location: Xi'an, China

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