Application of Improved DV-Hop algorithm in Wireless Sensor Network

Jiaowu Cai; Liangyu Li; Zhijun Zhang

doi:10.54097/fcis.v2i1.2965

Authors

Jiaowu Cai
Liangyu Li
Zhijun Zhang

DOI:

https://doi.org/10.54097/fcis.v2i1.2965

Keywords:

Particle swarm algorithm, Genetic algorithm, DV-Hop, Wireless sensor network

Abstract

To improve the problem of inaccurate wireless sensor network positioning algorithm of DV-Hop node is proposed. Firstly, the optimization scheme of the anchor nodes is completed by calculating the triangle area of the anchor nodes. Furthermore, the particle group optimization algorithm combines the genetic chaotic particle group theory, and finally, the improved particle group algorithm is used to correct the node position obtained by the DV-Hop algorithm. The simulation experiments show that improving the DV-Hop algorithm compared with the traditional D V-Hop algorithm to monitor the underground leakage accident position more accurately.

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