A Fuzzy-Logic Approach for Optimized and Cost-Effective Early Warning System for Tsunami Detection

Bushra Qayyum, Atiq Ahmed, Ihsan Ullah () and Syed Attique Shah
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Bushra Qayyum: Department of Computer Science & Information Technology, University of Balochistan, Quetta 08770, Pakistan
Atiq Ahmed: Department of Computer Science & Information Technology, University of Balochistan, Quetta 08770, Pakistan
Ihsan Ullah: Department of Computer Science & Information Technology, University of Balochistan, Quetta 08770, Pakistan
Syed Attique Shah: School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, UK

Sustainability, 2022, vol. 14, issue 21, 1-15

Abstract: With the economic crisis going around the world, a new approach, “build back better”, has been adopted as a recovery package for various systems. The tsunami detection and warning system is one such system, crucial for saving human lives and infrastructure. While designing a tsunami detection system, the social, economic, and geographical circumstances are considered to be vital. This research is focused on designing a low-cost early warning system mainly for underdeveloped countries, which are more prone to tsunami damage due to a lack of any reliable early warning and detection systems. Such countries require proper cost-effective solutions to address these issues. Previous research has shown that the existing systems are either very costly or hard to implement and manage. In this study, we present a wireless sensor networking model, which is an optimized model in terms of cost, delay, and energy consumption. This research contemplates the techniques and advantages of the intelligence of marine animals. We propose a fuzzy logic-based approach for early tsunami detection, using electromagnetic and pressure sensors, based on the behavioral attributes of turtles and real-time values of earthquakes and water levels.

Keywords: wireless sensor networks; fuzzy logic; marine behavior; tsunami alert system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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