Location-Based Explosion Detection in Wireless Optical Pressure Sensor Networks Using Bat Optimization Algorithm

• Published in: Wireless personal communications Vol. 127; no. 1; pp. 845 - 868
• Main Authors: Luo, Renze, Li, Guodong, Fan, Shunli, Safara, Fatemeh
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2022; Springer Nature B.V
• Subjects: Communications Engineering; Computer Communication Networks; Energy consumption; Engineering; Evolutionary algorithms; Medical research; Networks; Nodes; Optical communication; Optical measuring instruments; Optimization; Pressure sensors; Signal,Image and Speech Processing; Terrorism; Wireless networks; Wireless sensor networks; Wireless sensor networks; Evolutionary algorithms; Bat optimization algorithm; Explosion detection; Optical pressure sensors
• ISSN: 0929-6212; 1572-834X
• DOI: 10.1007/s11277-021-08442-y

Explosion detection is one the important issues to protect people's lives from terrorist attacks. Technological advances have significantly reduced the possibility of terrorist attacks. One of the technologies that improved the explosion detection accuracy is Wireless Sensor Networks (WSN), which has gained researches’ attention. WSN is widely used in medical systems, industries and military systems to collect data from sensor nodes placed in particular locations. For precise and high speed communications, optical sensor nodes are widely used recently. In this paper, the main objective is to detect explosion in an optical pressure sensor network. To meet this goal, an evolutionary algorithm, Bat Optimization Algorithm, is employed. The proposed method results in reducing energy consumption and improving the service quality. Simulation results indicates the superiority of the proposed algorithm for explosion detection in compare to previous methods proposed for the same problem.