A Robust Data Security Framework for WSN Using Hybrid Pareto Optimality Based Lion Swarm Optimization and Advanced Encryption Standard

The research presents a safe and energy-saving way to send data through Wireless Sensor Networks (WSNs) using Hybrid Pareto-based Lion Swarm Optimization with Advanced Encryption Standard (HPLSOAES). This method targets key issues in WSNs, for instance, short-lived node energy, easy access to stolen data and changes to transmitted data. It improves the performance of a network by running through the factors of residual energy, link quality and distance, as this method permits making the best choice of forwarder nodes and improves routing functionality with less energy consumed. For secure data delivery, the application makes use of double-key AES encryption which improves both confidentiality and the ability to withstand attacks. Reliable and secure transmission is important in this system for agricultural monitoring in real time. Experimental results prove that HPLSOAES greatly improves performance, with a 0.0001 second delay, increased throughput (0.89 %), less energy used (0.00001 J), extended network lifetime and much lower dropped packet rates. As a result, the approach helps make WSNs more robust, secure and energy efficient which makes it a good fit for places that require sensitive and limited resources.