A summary of the routing algorithm and their optimization,performance
Xunchi Ma
TL;DR
The paper surveys classical and modern routing algorithms, emphasizing optimization and performance across diverse networks, including large-scale wireless sensor networks and IoT. It introduces two modern approaches—EESRA, a three-layer energy-aware clustering strategy with a hybrid MAC, and GAPSO-SVM, an energy-aware IoT localization and clustering framework using a GA-PSO hybrid and SVM-based localization without GPS. Through simulations and evaluations, EESRA demonstrates superior energy efficiency and scalability over LEACH variants, while GAPSO-SVM achieves faster convergence, extended lifetime, and better energy use than prior EEWC methods. Collectively, the work provides actionable insights for designing energy-efficient, scalable routing in complex, dynamic networks and highlights promising directions for IoT and WSN deployments.
Abstract
This essay provides a comprehensive analysis of the optimization and performance evaluation of various routing algorithms within the context of computer networks. Routing algorithms are critical for determining the most efficient path for data transmission between nodes in a network. The efficiency, reliability, and scalability of a network heavily rely on the choice and optimization of its routing algorithm. This paper begins with an overview of fundamental routing strategies, including shortest path, flooding, distance vector, and link state algorithms, and extends to more sophisticated techniques.