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Open AccessArticle

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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Author to whom correspondence should be addressed.
Sensors 2018, 18(9), 2960; https://doi.org/10.3390/s18092960
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)
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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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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