A Hybrid Node-to-Node Trust Probability Based Dynamic Path Planning Algorthm for WSNS

Abstract

Due to its topology, network size, and communication, Wireless Sensor Networks (WSNs) play a crucial role in real-time applications. Node reliability, path connection, and trustworthiness are crucial factors that enhance network efficiency in real-time applications. Similarly, data privacy, path planning, and integrity are essential for optimizing network efficiency and trustworthiness. However, traditional WSN path planning techniques often overlook integrity and node trust computation, making it challenging to provide privacy and robust path planning in large WSNs.To address these issues, a hybrid trust-based node integrity verification and privacy-preserving model has been implemented for dynamic WSNs. The model incorporates a hybrid link prediction method, trust method, and hybrid ant colony optimization-based route construction model. Experimental results demonstrate that this model is more efficient than traditional techniques in terms of route overhead, packet delivery ratio, delay, and throughput.