Title: Implementation of an efficient and intelligent Indian maritime borderline alert system using IoT
Authors: M. Asha Jerlin; Anindya Kumar Das; Joshua Agbonjaru
Addresses: School of Information Technology and Engineering, VIT University, Vellore, India ' School of Information Technology and Engineering, VIT University, Vellore, India ' School of Information Technology and Engineering, VIT University, Vellore, India
Abstract: The sea border issues are crucial to nations where it is hard to have a track of boarder for fishermen. About 180,000 fishing vessels of assorted forms are involved in fishing along the Indian-Sri Lankan maritime border. But fishing activities in that region has always been an agitating factor, ever since violence broke out in Sri Lanka about three decades ago. This problem however this can be solved only by an efficient and intelligent boundary alert system using IoT. Internet of things has the technology to make it possible for monitoring the sea border levels to know the border location. The Intelligent Maritime Borderline Alter System or IMBAS incorporates the new methodology of IoT for saving the fishermen's life as well as their sole assets in which their mode of income depends. The methodology includes tracking the position of the boat in real time using a differential GPS system and keeping the boat in safe waters, well inside the Indian Territory. The system will also notify the ground control as and when the boat approaches the maritime borderline.
Keywords: maritime borderline; India-Sri Lanka; GPS; border security; vessel monitoring; alert system; Tamil Nadu; fishing community; IoT.
International Journal of Social Computing and Cyber-Physical Systems, 2019 Vol.2 No.2, pp.95 - 105
Received: 23 Oct 2016
Accepted: 27 Aug 2017
Published online: 14 Jun 2019 *