Monitoring, Detecting and Early Warning of Forest Fires using Blockchain in Wireless Sensor Network
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.11, No. 11)Publication Date: 2022-11-30
Authors : Long Tran Huy; Chinh Tran Thien; Hoai Trung Tran; Quynh Le Chi;
Page : 165-176
Keywords : WSN; blockchain; cluster head; routing; sensor node; security;
Abstract
Forest fires cause economic and material losses and destroy the environment, causing many negative impacts on human habitats and forest ecosystems. The unpredictable threat of wildfires leads to climate change and the greenhouse effect. It is worth noting that up to 90% of forest fires occur mainly due to human activities [1], even due to tampering, vandalism, and hostile actions. Therefore, to minimize the destruction caused by forest fires as well as accurately identify the area where forest fires occur and support government agencies, forest rangers, and search and disaster relief forces, ... it is necessary to monitor, detect and warn of forest fires right from the early stage (early warning). This paper proposes to use static sensor nodes combined with mobile in wireless sensor network (WSN) to Forest fire Monitoring, Detection, and Early Warning - FMDW. At the same time, integrating Blockchain technology (BC) in WSN solves the problem of secure routing, and distributed data storage, and prevents destructive and tampering attacks. This also suggests new research directions on monitoring, detecting, warning, and protecting forests in countries using Blockchain security technology in WSN.
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Last modified: 2022-11-22 21:58:44