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

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Abstract

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.

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Authors and Affiliations

  1. School of Electrical Information, Southwest Petroleum University, Chengdu, 610500, China

    Renze Luo & Shunli Fan

  2. School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu, 610500, China

    Guodong Li

  3. Department of Computer Engineering, Islamshahr Branch, Islamic Azad University, Islamshahr, Iran

    Fatemeh Safara

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  1. Renze Luo
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  2. Guodong Li
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Correspondence to Renze Luo.

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Luo, R., Li, G., Fan, S. et al. Location-Based Explosion Detection in Wireless Optical Pressure Sensor Networks Using Bat Optimization Algorithm. Wireless Pers Commun 127, 845–868 (2022). https://doi.org/10.1007/s11277-021-08442-y

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