Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …

Every year man-made and natural disasters impact the lives of millions of people. The
frequency of occurrence of such disasters is steadily increasing since the last 50 years, and …

One of the most important challenges for heterogeneous wireless sensor networks (HWSNs)
is adequate network coverage and connectivity. Aiming at this problem, this paper proposes …

Monitoring and early warning technology for forest fires is crucial. An early
warning/monitoring system for forest fires was constructed based on deep learning and the …

Wireless sensor networks (WSNs) displays an encouraging outcome for forest fire (FF)
identification. The most serious WSN investigation tasks is forest fire's early prediction, which …

Opportunistic routing (OR) is the area of research in the trending scenario as the traditional
methods for ensuring secure routing in the Wireless Sensor Networks (WSNs) suffer from the …

Due to complex terrain and harsh environments, sensor nodes are often randomly scattered
in the monitoring area, which may cause coverage holes or network disconnection. Current …

Forest fires can have multiple engenderers including lighting and thunder, unauthorized
human exercises, and unrestrained fire projects. In addition to precautions, quick detection …

(1) Background: Fire affects global agricultural and/or forest ecosystems with high biomass
accumulation. However, the delineation of fire-hazardous areas based on satellite-derived …

Forest fire is disastrous to civilizations due to damage to life and property. Forest fire results
imbalance of the ecosystem loss of human life and wild animals. Early detection of fire is one …