Title: Energy consumption region sensing in sensor networks based on multi-objective greedy localisation algorithm

Authors: Jinwen Liu

Addresses: Department of Mechanical and Electrical Engineering, Hebi Automobile Engineering Vocational College, HeBi 458030, China

Abstract: The traditional energy consumption area sensing method has poor effect on energy consumption area division, and the perception delay is too long. Therefore, the energy consumption area sensing method of sensor network is optimised. The area of sensor network nodes is determined, and the energy consumption area division algorithm is designed. The MP algorithm is optimised, a multi-objective greedy positioning algorithm for energy consumption regions is designed, and the position function of energy consumption nodes is obtained; the multilateral measurement method is used to realise energy consumption region perception of sensor networks. The experimental results show that the perceived delay of the paper method is only 0.0039 min, the average execution efficiency can reach 99.63%, and the accuracy of energy consumption region division is as high as 96.8%, which shows that the practical application performance of the method proposed in the paper is better.

Keywords: multi-objective greedy localisation algorithm; sensor network; energy consumption region sensing; location function of energy consumption node.

DOI: 10.1504/IJICT.2022.124810

International Journal of Information and Communication Technology, 2022 Vol.21 No.2, pp.137 - 153

Received: 02 Sep 2020
Accepted: 27 Oct 2020
Published online: 09 Aug 2022 *

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