A Hybrid Probabilistic Trust Model for Dynamic Path Planning in Wireless Sensor Networks
Received: 13 February 2025 | Revised: 16 March 2025 and 25 March 2025 | Accepted: 28 March 2025 | Online: 4 June 2025
Corresponding author: Seshagiri Rao Ganta
Abstract
Wireless Sensor Networks (WSNs) are vital for real-time applications, but their effectiveness hinges on node reliability, secure connections, and overall trustworthiness. Crucially, data privacy, secure path planning, and data integrity are paramount for efficient and reliable WSN operation. Traditional path planning often neglects integrity and trust, limiting privacy and robustness in large networks. To overcome these limitations, a novel hybrid model for dynamic WSNs has been developed. This model integrates trust-based node integrity verification with privacy preservation. It employs a hybrid link prediction method, a dynamic trust evaluation system, and a hybrid ant colony optimization approach for route construction. This combination addresses the challenges of dynamic network conditions and malicious actors. Experimental results showcase the superiority of this hybrid model over conventional techniques. The proposed approach demonstrably improves performance by minimizing route overhead, maximizing packet delivery ratio, reducing delay, and increasing throughput, ultimately leading to a more secure and efficient WSN.
Keywords:
dynamic sensor initialization, trust probability, node trustiness, path planningDownloads
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Copyright (c) 2025 Seshagiri Rao Ganta, N. Naga Malleswara Rao
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