Title: IoT-based algorithms for distributed location detection for flights

Authors: Amlan Chatterjee; Hugo Flores; Soumya Sen; Khondker Shajadul Hasan; Ashish Mani

Addresses: Department of Computer Science, California State University Dominguez Hills, Carson, CA, USA ' Department of Computer Science, California State University Dominguez Hills, Carson, CA, USA ' A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, WB, India ' College of Science and Engineering, University of Houston-Clear Lake, Houston, TX, USA ' Department of Electrical and Electronics Engineering, Amity University, Noida, UP, India

Abstract: Detecting the location of aircraft at all times during flight is of utmost importance in commercial aviation. With the increasing number of aircraft that operate over various routes across the globe, tracking each flight with accurate location detection is a challenge. In this paper, we propose an internet of things based framework for aircraft that can assist with tracking the same. Our model includes aircraft, air traffic control towers, project loon balloons and infrastructure enabled aircraft as the different components. Our proposed algorithms work for aircraft that operate on routes over land as well as large water bodies, specifically oceans. All the algorithms are implemented and tested using simulation for the tracking of aircraft in different scenarios. The experimental results show that using the proposed techniques, an additional 70% of aircraft under consideration can share location data and can be detected as compared to using conventional radar based techniques.

Keywords: internet of things; IoT; distributed location detection; commercial aviation; communication; flight tracking.

DOI: 10.1504/IJHI.2019.103578

International Journal of Hybrid Intelligence, 2019 Vol.1 No.2/3, pp.191 - 210

Received: 07 Apr 2018
Accepted: 23 May 2018

Published online: 11 Nov 2019 *

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