Comparative Analysis of Shortest-Path Algorithms in Network Routing

Large and dynamic networks consist of a large number of routers and links which makes the process of routing very challenging on complex networks. This emphasizes the importance of having efficient routing algorithms that are used to find the shortest path for a data packet to reach the destination system. There are three major algorithms to calculate the efficient path - Dijkstra, Bellman- Ford, and Floyd-Warshall. This paper has analyzed the performance efficiency of these algorithms based on their convergence time, memory required, scalability, and stability. After analysis, it was found that Dijkstra's algorithm is more efficient for calculating the shortest path, especially for a large number of nodes.

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Published
2025-04-18
DOI
https://doi.org/10.1109/icccs65393.2025.11069970
Citations
1
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
1.49
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Comparative Analysis of Shortest-Path Algorithms in Network Routing

Ziaul Hossain, Mehak Narang
1 citations
Optimization and Search Problems
1.49
article

Comparative Analysis of Shortest-Path Algorithms in Network Routing

Ziaul Hossain, Mehak Narang
article en
1 citations

Abstract

Large and dynamic networks consist of a large number of routers and links which makes the process of routing very challenging on complex networks. This emphasizes the importance of having efficient routing algorithms that are used to find the shortest path for a data packet to reach the destination system. There are three major algorithms to calculate the efficient path - Dijkstra, Bellman- Ford, and Floyd-Warshall. This paper has analyzed the performance efficiency of these algorithms based on their convergence time, memory required, scalability, and stability. After analysis, it was found that Dijkstra's algorithm is more efficient for calculating the shortest path, especially for a large number of nodes.

University of the Fraser Valley (CA)
Openalex Percentile: Top 15%
Optimization and Search Problems
1.49
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