Revolutionizing Data Communication: A Secure and Efficient Inter-Channel Framework with Multi-Regional Detection Approach
Year: 2026
Type: article
Abstract: Wireless sensor networks (WSN) pose significant security risks, as they are vulnerable to attacks at every network layer, making them crucial for network protection.The constrained resources of sensor nodes pose significant challenges, necessitating the development of energy-efficient and secure communication protocols.Localization technology is crucial in WSNs, but advancements have led to increasing security issues, such as Sinkhole attacks, selective forwarding attacks, wormhole attacks, malicious attacks, etc.This paper addresses the critical issue of achieving both energy efficiency and security in WSNs.The proposed framework ensures the confidentiality, integrity, and authenticity of data while minimizing energy consumption.To create a safe network environment, the suggested framework makes use of a novel Inter-Channel Data Communication Algorithm and a fault-tolerant data transfer mechanism.To ensure high separation, the algorithm chooses non-sequential cluster heads based on the Davies-Bouldin function and mean frequency.Initiating communication among nodes involves taking into account the cluster heads' level of trust, which is estimated by utilizing the beta distribution and signal arrival time.The process is streamlined and the load of trust checks for all nodes is lessened because the mean trust value barrier is met.The probable malicious nodes are identified using circular concentric frequency mapping and clone authentication in a multi-region detection approach.To look for suspicious activity in non-collinear neighborly nodes, an adaptive threshold function based on reputation is employed.
Authors: Sushma P. Pawale, Poornima G Patil
Institution: Visvesvaraya Technological University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7214374367