Deep Belief Learning Based Extreme Multiple Regressive and Rabin Signature Cryptographic Secured Sensor Network Routing for Forest Fire Detection
Year: 2025
Type: article
Abstract: A potential area for real-world data collection and utilization is Wireless Sensor Networks (WSNs) for monitoring and control applications.WSN is primarily used for target object tracking which involves continuously recognizing and tracking the presence of a target. In forest area, sensor nodes positioned strategically to track events and send wisdom data to distant base station. Malicious nodes within network make it difficult to provide communication security because it is thought to be a major problem for the successful delivery of the collected data. The special problems of WSNs like resource limitations, changing topology, and susceptibility to different types of assaults, are frequently not adequately addressed by conventional security mechanisms.
Author: P.R.Sowmiya
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893201915
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