Energy Efficient Location-Based Trust, and Key Management for Sensor Networks based on Advanced Hybrid Multi-Level Clustering Ant Colony Optimisation Algorithm

Abstract

Wireless Sensor Networks (WSN) has been extensively used due to its numerous uses such as object detection, biomedical health surveillance, natural disaster relief, environmental surveillance, and video surveillance. However, the vulnerability to protection contributes to increased electricity use and higher transmission costs. On the other hand, energy efficiency is a vital consideration because of the energy resource limitation of storages in sensor nodes. This research therefore introduces the Enhanced Energy-Efficient Location-based Key Management Optimisation (EEELKO) Protocol. The research's involvement consists of three main stages. The first is to establish an effective grouping protocol with high confidence values for the chosen nodes, using fuzzy based trust management. A secure data validation based on confidence and distance-specific management is then applied to the Elliptical Curve Logic Discrete Secure Algorithm (ECLDSA). Safe routing together with increased energy performance is facilitated with key and trust management, energy and position parameters implemented in the optimisation algorithm. The quality parameters such as packet distribution ratio, energy efficiency, and performance and end-to-end delays are used for validation of the data. The proposed approach was implemented in MATLAB software. The obtained solution achieves a greater throughput and delivery ratio with lower energy consumption. It also increases the reliability and the performance when compared to conventional methods.