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Related Experiment Video

Updated: May 24, 2025

Wind Tunnel Experiments to Study Chaparral Crown Fires
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Research on forest fire information propagation model based on IoV.

Xiaodan Dong1, Siyang Xia2

  • 1Jiangsu Vocational College of Information Technology, Wuxi, 214153, China.

Scientific Reports
|March 4, 2025
PubMed
Summary

Internet of Vehicles (IoV) communication enhances forest fire detection. Using 802.11p Enhanced Distributed Channel Access (EDCA), emergency data is prioritized, ensuring rapid and reliable transmission for disaster mitigation.

Keywords:
EDCAForest fireIoVV2V communication

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Security

Background:

  • Forest fire detection is hampered by insufficient communication infrastructure.
  • Timely data transmission from sensors to control centers is critical for disaster management.

Purpose of the Study:

  • To ensure reliable communication links in forest environments using Internet of Vehicles (IoV) technology.
  • To analyze and improve real-time communication performance for forest fire scenarios.

Main Methods:

  • Employed 802.11p Enhanced Distributed Channel Access (EDCA) for Vehicle-to-Vehicle communication.
  • Utilized a Markov model transformed into the Z-domain for real-time performance analysis.
  • Simulated wireless communication within a forest fire scenario.

Main Results:

  • EDCA prioritizes fire-related emergency safety information via high-priority queues.
  • Achieved minimum transmission delay below 0.2 ms and a maximum packet delivery ratio of 0.995.
  • Network throughput maintained at 6 Mbps/s with 110 or more vehicles.

Conclusions:

  • IoV with EDCA significantly improves communication reliability for forest fire monitoring.
  • The proposed method ensures efficient and timely transmission of critical safety data.
  • The system demonstrates scalability and robustness in challenging forest environments.