Title: Sensor management based on collaborative information fusion algorithm for gas source localisation

Authors: Yong Zhang; Liyi Zhang; Jianfeng Han; Yi Yang; Xinyuan Ma

Addresses: Information Engineering College, Tianjin University of Commerce, Tianjin 300134, China ' Information Engineering College, Tianjin University of Commerce, Tianjin 300134, China ' Information Engineering College, Tianjin University of Commerce, Tianjin 300134, China ' Information Engineering College, Tianjin University of Commerce, Tianjin 300134, China ' Information Engineering College, Tianjin University of Commerce, Tianjin 300134, China

Abstract: Gas source localisation based on sensor networks is of great importance in many fields such as environmental monitoring, security protection and pollution control. Considering the sensor node scheduling and path planning problem in the gas source localisation process, an improved collaborative sensor management method based on genetic and ant colony fusion algorithm was proposed in this paper. Simulation results show that, under different certain environmental assumptions, the mobile sensor nodes could achieve accurate gas source prediction positioning based on the proposed fusion method and it is superior to the genetic algorithm and ant colony algorithm with higher localisation accuracy and faster convergence speed.

Keywords: mobile sensor networks; sensor management; gas source localisation.

DOI: 10.1504/IJSNET.2018.096478

International Journal of Sensor Networks, 2018 Vol.28 No.4, pp.242 - 252

Received: 28 Jun 2018
Accepted: 28 Jun 2018

Published online: 29 Nov 2018 *

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