Secure Data Transmission in the WSN Sector Utilizing a Heuristic Multi-Level Clustering Mechanism With Dynamic Trust Computation

Abstract

Wireless sensor networks (WSNs) utilize a network of small sensor nodes to collect, process, and report observed data back to a central location. A multi-trust paradigm based on hierarchical clustering is implemented in the WSN network to address these concerns. This model is to calculate the trust value for carrying out the safe transmission between the huge sensor nodes that make up the network. In this case, energy trust, communication trust, and data trust all contribute to the multi-trust process. This multi-trust is then compared to a threshold value, if it is more than the threshold, the corresponding node is disregarded or eliminated. It tends to establish multi-level clustering for security enhancement because of the increased multi-trusting. Modified exploration-based pelican optimization algorithm (ME-POA) is used to obtain the most important feature of CH. Finally, the performance is evaluated using multi-objective functions, with distance, latency, energy, and multi-trust serving as the parameters.