Efficient Clear Air Turbulence Avoidance Algorithms using IoT for Commercial Aviation

TL;DR

This paper proposes IoT-based algorithms for detecting and avoiding Clear Air Turbulence in commercial aviation, demonstrating faster response times compared to traditional radio communication methods through simulation.

Contribution

The paper introduces novel IoT-enabled algorithms for turbulence avoidance that leverage direct aircraft communication, improving response speed over conventional methods.

Findings

IoT-based algorithms outperform traditional radio communication in speed

Direct communication between aircraft enhances turbulence detection efficiency

Simulation results validate the effectiveness of the proposed methods

Abstract

With the growth of commercial aviation over the last few decades there have been many applications designed to improve the efficiency of flight operations as well as safety and security. A number of these applications are based on the gathered data from flights; the data is usually acquired from the various sensors available on the aircraft. There are numerous sensors among the electrical and electronics devices on an aircraft, most of which are essential for the proper functioning of the same. With the sensors being operational throughout the time of movement of the aircraft, a large amount of data is collected during each flight. Normally, most of the gathered data are stored on a storage device on the aircraft, and are analyzed and studied later off-site for research purposes focusing on improving airline operation and efficiently maintaining the same. In certain cases, when there is data transfer during the flight, it is between the aircraft and an air-traffic-control (ATC) tower, which serves as the base station. The aircraft equipped with all these sensors, which can gather and exchange data, form a framework of Internet of things (IoT). Detecting and avoiding any form of turbulence for an aircraft is vital; it adds to the safety of both passengers and aircraft while reducing the operating cost of the airline. Therefore, in this paper, we study techniques to detect and avoid Clear Air Turbulence (CAT), which is a specific type of turbulence, based on the IoT framework of aircraft. We propose algorithms that consider both direct and indirect communication between aircraft within a specific region. Using simulation results, we show that our proposed techniques of direct communication using the IoT framework is faster than conventional techniques involving radio communication via both single ATC tower and multiple ATC towers.