An Accurate Methodology to Identify the Explosives Using Wireless Sensor Networks

13 Pages Posted: 14 Jun 2019

See all articles by Kishore Rejeti

Kishore Rejeti

Acharya Nagarjuna University, Department of Computer Science and Engineering (CSE)

G. Murali

KKR & KSR Institute of Technology and Sciences

B Suresh Kumar

Amity University - Department of Computer Science and Engineering

Date Written: March 29, 2019

Abstract

Detection of explosives has been an active research area in the wake of bomb blasts occurred across the globe due to terrorist activities. Towards this end many detection systems came into existence. The government agencies in various countries are equipped with the devices that can detect explosives. However, often they are bulky in nature and they are publicly visible and expensive. Therefore it is not feasible to use them in the present condition in public places such as railway stations, airports, bus stations and so on. Moreover the traditional systems used to detect explosives need manual attention so as to get them perform their functionality. Therefore it is the need of the hour to have simple and effective network that can monitor such anti-social elements’ actions by detecting explosives reliably and accurately. Towards this end we proposed a comprehensive framework that can have all ingredients to detect explosives and integrated them with a wireless sensor network (WSN). In this paper we proposed a methodology to detect RDX and TNT based explosives. Our algorithm named Explosive Detection Algorithm (EDA) is proved to be effective and the simulation results reveal significance performance improvement over existing methods.

Suggested Citation

Rejeti, Kishore and Murali, G. and Kumar, B Suresh, An Accurate Methodology to Identify the Explosives Using Wireless Sensor Networks (March 29, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019. Available at SSRN: https://ssrn.com/abstract=3362178 or http://dx.doi.org/10.2139/ssrn.3362178

Kishore Rejeti (Contact Author)

Acharya Nagarjuna University, Department of Computer Science and Engineering (CSE) ( email )

India

G. Murali

KKR & KSR Institute of Technology and Sciences ( email )

Guntur

B Suresh Kumar

Amity University - Department of Computer Science and Engineering ( email )

India

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