Title: A DV-Hop dynamic weight positioning model with genetic algorithm

Authors: Penghong Wang; Tian Fan; Xingjuan Cai; Wuchao Li

Addresses: School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 003024, Shanxi, China; Research Centre of Intelligent Interface and Human Computer Interaction, Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150006, Heilongjiang, China ' School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 003024, Shanxi, China ' School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 003024, Shanxi, China ' Jiaxing Vocational Technical College, Jiaxing, Zhejiang, China

Abstract: Wireless Sensor Networks (WSNs), as an important part of the Internet of Things (IoT), are widely deployed to the location estimation in WSNs. However, at present, the study of DV-Hop algorithm is still limited to the improvement of the sensor nodes in the ordinary region. In this paper, aiming at the complex areas under different application backgrounds, based on the analysis of the localisation principle of the traditional DV-Hop model based on optimisation algorithm, a dynamic weight positioning model based on genetic algorithm (DWMGA-DV-Hop) is proposed. The algorithm performs simulation experiments on three different types of test by adopting dynamic weight calculation model. And experimental results demonstrate that, under different test sets, compared with the standard DV-Hop algorithm, TW-PSODV-Hop and OCS-DV-Hop algorithm, this algorithm has the highest positioning accuracy and stability.

Keywords: DV-Hop; genetic algorithm; dynamic weight positioning model; IoT; internet of things.

DOI: 10.1504/IJWMC.2021.114130

International Journal of Wireless and Mobile Computing, 2021 Vol.20 No.2, pp.139 - 145

Received: 12 May 2020
Accepted: 18 Sep 2020
Published online: 09 Apr 2021 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article