Communications, IoT, and Resilient Networks for Wildfire-Prone and Remote Regions
DOI:
https://doi.org/10.63252/JCBECA/3.2.2026.28Keywords:
Internet of Things (IoT), wildfire detection, robust networks, LoRaWAN, satellite communications, unmanned aerial vehicle (UAV), mesh network, edge computing, artificial intelligence, disaster management.Abstract
Natural fires and the nature of isolated regions create considerable difficulties when it comes to communication and environment monitoring. Infrastructure based on cell towers and wired Internet may be destroyed or becomes inaccessible during natural fires due to destruction, lack of power supply, or difficult landscape. In this paper, a survey and architecture of reliable communication system are provided, which include IoT, LPWAN wireless communications, satellite communication, UAVs, mesh networks, edge computing, AI, and cloud computing for provision of communication in case of failure of infrastructure. We discuss the properties of fire-prone and isolated regions, communication and sensing devices that will allow detection of natural fires and develop a layered architecture of a reliable communication system, which includes layers of sensing, communication, edge computing, and cloud computing. Also, we analyze how to make such communication system more reliable, provide its cybersecurity and workflow of early natural fire warning using multisource data fusion. Some of the open problems are power limitations, interoperability problems, deployment costs, spectrum usage restrictions. Possible areas of further research are emergency 6G communication, swarm of drones, digital twin of forest, energy harvesting sensors.
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