Graph-Based Routing Algorithms for Enhancing Communication Efficiency

Authors: Dr. Indu Pal

Country: India

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Abstract: Efficient communication is essential for modern networked systems, impacting applications from data centers and telecommunication networks to sensor and urban traffic networks. Graph-based routing algorithms leverage graph theory to model networks, using nodes as devices or locations and edges as connections to determine optimized routes for data transmission. These algorithms, such as Dijkstra's, Bellman-Ford, and A*, allow for flexible and efficient routing by accounting for factors like network congestion, fault tolerance, shortest path, and load balancing. In varied environmentsfrom static to dynamic networksthese algorithms maximize throughput, reduce latency, and improve resource utilization. Studies have advanced this field by addressing unique challenges, including fault tolerance in wireless sensor networks (WSNs), adaptive routing in cognitive radio networks (CRNs), and routing in delay-sensitive and resource-constrained environments like interplanetary and vehicular ad hoc networks (VANETs). Overall, graph-based routing algorithms provide a robust framework for enhancing communication efficiency, demonstrating their adaptability across diverse network topologies and applications.

Keywords: Network Optimization, Graph Theory, Fault Tolerance, Load Balancing

Paper Id: 231890

Published On: 2020-03-03

Published In: Volume 8, Issue 2, March-April 2020

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