International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Wireless Sensor Network Surveillance on Forest Illegal Mining using 'Planned Behaviour Abortion Tower': Analytical Modelling

Author NameAuthor Details

Eric Opoku Osei , James B. Hayfron-Acquah, Michael Asante

Eric Opoku Osei [1]

James B. Hayfron-Acquah[2]

Michael Asante[3]

[1]Department of Computer Science, Kwame Nkrumah University of Science and Technology, Ghana

[2]Department of Computer Science, Kwame Nkrumah University of Science and Technology, Ghana

[3]Department of Computer Science, Kwame Nkrumah University of Science and Technology, Ghana

Abstract

The USAID report on climate change vulnerability and adaptation in Ghana confirmed the impact of recent explosion of illegal gold mining in forest reserves and in river body. Government of Ghana responded to such wake-up call in deploying military combatants against perpetrators operating at day and midnight hours when drones are ineffective to monitor. We aimed at wireless sensor network (WSN) deployment to compliment military efforts for real time remote sensing. A conceptual framework on WSN technology is proposed based on expert view gathered from Delphi technique data analysis. A close textual reading of illegal mining editorial and the primary evidence of climate change impact from water shortage due to river body pollution with cyanide chemical in Ghana are key input factors for this technology-based conceptual exploration. Positive analytical feedback from the 'Delphi' suggests that we can apply this conceptual framework to all environmental case studies in which technology-based security protocols are good compliments to abort human intention towards certain behavior. The comparative discussion on the use of Drones, Satellite and WSN showed that the latter is: economical to deploy, energy efficient for continuous operational availability and reliable data sensing at midnight mining compared to drones' image processing power at night to track manual mining excavations. This study gives a starting point for uptake investigation in WSN deployment for surveillance on illegal mining; hence the findings may have limitations such as subjectivity of expert view. This conceptual framework is a recommendation to urgent national issue and thus it is relevant having real-world implementation for testing the human behavioral assumptions.

Index Terms

Wireless Sensor Network

Surveillance

Illegal Gold Mining

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