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Sensors 2018, 18(9), 2960; https://doi.org/10.3390/s18092960

Energy-Efficient Forest Fire Prediction Model Based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol

Department of Computer Science and Engineering, Dongguk University, Seoul 04620, Korea
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Received: 7 August 2018 / Revised: 2 September 2018 / Accepted: 3 September 2018 / Published: 5 September 2018
(This article belongs to the Special Issue Innovative Sensor Technology for Intelligent System and Computing)
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Abstract

This paper proposes an adaptive duty-cycled hybrid X-MAC (ADX-MAC) protocol for energy-efficient forest fire prediction. The Asynchronous sensor network protocol, X-MAC protocol, acquires additional environmental status details from each forest fire monitoring sensor for a given period, and then changes the duty-cycle sleep interval to efficiently calculate forest fire occurrence risk according to the environment. Performance was verified experimentally, and the proposed ADX-MAC protocol improved throughput by 19% and was 24% more energy efficient compared to the X-MAC protocol. The duty-cycle was shortened as forest fire probability increased, ensuring forest fires were detected at faster cycle rate. View Full-Text
Keywords: forest fire; prediction model; energy efficient; sensors; Wireless Sensor Network; X-MAC; hybrid; adaptive; duty-cycle; protocol forest fire; prediction model; energy efficient; sensors; Wireless Sensor Network; X-MAC; hybrid; adaptive; duty-cycle; protocol
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Kang, J.-G.; Lim, D.-W.; Jung, J.-W. Energy-Efficient Forest Fire Prediction Model Based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol. Sensors 2018, 18, 2960.

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