Sensor management based on collaborative information fusion algorithm for gas source localisation. (2018)

• Record Type: Journal Article
• Authors: Zhang, Yong; Zhang, Liyi; Han, Jianfeng; Yang, Yi; Ma, Xinyuan
• Is Part Of: International journal of sensor networks. Volume 28:Number 4(2018)
• Page Start: 242
• Page End: 252
• Publication Date: 2018
• Subjects: mobile sensor networks -- sensor management -- gas source localisation; Sensor networks -- Periodicals; 681.2
• Languages: English
• ISSNs: 1748-1279

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.