Abstract
The approach introduced in this study is an innovative framework that merges heuristic methods and graph theory techniques to optimize network routing within a geographical region. It aims to efficiently connect all users in the network, offering near-optimal solutions. The model's effectiveness is demonstrated in finding good solutions for network routing through implementation in a random scenario. This approach is precious for planners and designers grappling with network routing challenges, providing an efficient and effective solution. With its potential to assist in the design process across diverse contexts, this model holds promise for facilitating network planning and enhancing the overall efficiency of network systems.
Original language | English |
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Title of host publication | International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350322972 |
DOIs | |
State | Published - 2023 |
Event | 2023 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 - Tenerife, Canary Islands, Spain Duration: 19 Jul 2023 → 21 Jul 2023 |
Publication series
Name | International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 |
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Conference
Conference | 2023 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 |
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Country/Territory | Spain |
City | Tenerife, Canary Islands |
Period | 19/07/23 → 21/07/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- algorithms
- electrical networks
- graph theory
- heuristics
- network planning
- optimal routing