FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

(A Peer Review Journal)
e–ISSN: 2408–5162; p–ISSN: 2048–5170

FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

DESIGN OF AN AUTOMATED DEPLOYMENT ORDER SYSTEM FOR EXPLOSIVE DETECTION USING WIRELESS SENSOR NETWORK
Pages: 651-654
Candidus O. Okwor, Ibrahim A. Adeyanju*, Nnamdi S. Okomba, Adebimpe O.Esan


keywords: ADOT detection, explosives, network, sensors, wireless

Abstract

Due to the tremendous and continuous rise globally in the use of explosives to attacks government infrastructures, public places and facilities, various institutions are now equipping their infrastructures with devices that can detect explosives. Most traditional explosive detection systems require manual intervention in the form of human operation for them to effectively function well and are bulky in size thereby allowing attackers to bypass them. However, there are lots of scenarios in explosive detection where manual intervention is unsafe due to the nature of explosives and where the detection system is required to be stealth. These limitations coupled with the need for distributed operations gave rise to automated explosive detection systems that are strategically distributed for wider area coverage with a miniature size. Wireless Sensor Networks have been utilized in the development of explosive detection systems by incorporating intelligent sensor networks and deployment mechanism. This paper discusses the design of an automated and intelligent explosive detection system that uses a wireless sensor network with automated deployment order technology. It is expected that designed system will address some of the challenges encountered by existing automated explosive detection systems. The designed system will be simulated followed by a construction of a prototype as a proof of concept as part of our future work

References

Adeyiga JA, Adeyanju IA, Olabiyisi SO, Omidiora EO & Bello A 2016. An improved fuzzy C-means clustering algorithm framework for profiling criminal. Advan. Multidisc. & Scientific (AIMS) Res. J., 2(2): 123-134. Bielecki Z, Janucki J, Kawalec A, Mikołajczyk J, Pałka N, Pasternak M, Pustelny T, Stacewicz T & Wojtas J 2012. Sensors and systems for the detection of explosive devices – An overview. Metrology and Measurement Systems, 19(1): 3-28. Cattivelli FS & Sayed AH 2010. Diffusion LMS strategies for distributed estimation,” IEEE Trans. Signal Process, 58: 1035 – 1048. Chaturvedi P 2012. Introduction to wireless sensor networks. Int. J. Advanced Res. Comp. Sci. & Software Engr., 2(10).

Highlights