Location Based Energy Efficient Security Mechanism in Wireless Sensor Networks using Trust Aware Localized Key Management Technique

Abstract

Wireless Sensor Networks (WSNs) have gained significant popularity applications in a variety of fields,  including as environmental monitoring, healthcare, and security surveillance, are possible. However, ensuring the security of WSNs remains a formidable challenge due to resource constraints and the dynamic nature of these networks. In response, location-based security management has emerged as a promising approach to bolster WSN security by leveraging node location information to mitigate potential threats. This paper presents a novel trust aware localized key management technique known as TrustAware-QL-PSO-AES algorithm that integrates Trust awareness to a hybrid Qlearning-PSO-AES algorithm, offering an effective and energy-efficient trust aware location-based security mechanism for WSNs.The proposed technique encompasses essential components, such as location information, dynamic trust evaluation, and advanced encryption algorithms, to significantly enhance the security of WSNs. The Qlearning algorithm plays a central role in learning the current state of each node, including its position and velocity, while simultaneously estimating trust values based on past interactions. Concurrently, the PSO algorithm optimizes the placement of sensor nodes within the network, effectively enhancing network lifetime, coverage, connectivity, and energy consumption.Moreover, the PSO algorithm's optimal solution, represented by the best fitness value, is utilized for selecting encryption keys in the AES algorithm. These encryption keys are dynamically updated based on node movement, providing an additional layer of security to WSNs.  Proposed technique embraces a trust-aware concept, ensuring that data packets are routed through trusted nodes, further reinforcing the overall security framework.Extensive simulation results illustrate the efficacy of proposed Trust Aware Localized Key Management Technique, which not only significantly enhances the security of WSNs but also demonstrates remarkable efficiency in optimizing network performance. As a result, this approach proves to be well-suited for real-world applications across various domains, where both security and energy efficiency are critical considerations.