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Energy-Efficient Forest Fire Prediction Model Based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocolopen access
- Authors
- Kang, Jin-Gu; Lim, Dong-Woo; Jung, Jin-Woo
- Issue Date
- Sep-2018
- Publisher
- MDPI
- Keywords
- forest fire; prediction model; energy efficient; sensors; Wireless Sensor Network; X-MAC; hybrid; adaptive; duty-cycle; protocol
- Citation
- SENSORS, v.18, no.9
- Indexed
- SCIE
SCOPUS
- Journal Title
- SENSORS
- Volume
- 18
- Number
- 9
- ISSN
- 1424-8220
1424-3210
- 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.
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Related Researcher
- Jung, Jin Woo
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)