Smart Congestion Management Bio Inspired Algorithms and Energy Efficient Protocols for WSNs

Abstract

Wireless sensor networks (WSN), are an essential component in the process of monitoring and gathering information from the world around them. These self-configured and infrastructure-less networks are designed for diverse applications, ranging from environmental sensing to industrial monitoring. However, the efficient functioning of WSNs faces a significant hurdle in the form of traffic congestion. This thesis delves into the intricacies of congestion control within WSNs and explores innovative strategies to enhance network performance. newlineThis research presents a comprehensive exploration of strategies to optimize Wireless Sensor Network (WSN) performance by addressing the pervasive challenge of traffic congestion. WSNs, crucial for monitoring environmental conditions, face issues such as reduced channel capacity and energy waste due to congestion. The research focuses on enhancing key QoS parameters, including bandwidth, arrival rate, transmission rate, queue, and energy consumption, with a specific emphasis on biology-based and hybrid congestion control algorithms. newlineThe first work in this research offers a comprehensive analysis of biology-inspired congestion control techniques, encompassing Genetic techniques, Ant Colony Optimization, Simulated Annealing, Firefly Algorithm and Particle Swarm Optimization. The research insights establish a foundation for comprehending the function of these algorithms in enhancing WSN performance, considering factors such as data arrival rate, available bandwidth, and energy usage. newlineExpanding upon the previous research, the second study performs a detailed comparison of hybrid optimal algorithms, specifically examining PSOGA and PSOGSA. The results demonstrate that PSOGSA is highly effective in addressing congestion-related problems, thus adding to the existing knowledge on hybrid optimization methods in WSNs. newlineThird work of this research presents a new Energy Efficient Congestion Free Path Selection Protocol (ECFPSP) that utilizes ButPCNN.