Abstract
In this paper, we present a model for optimizing network routing in a geographic area. Our approach combines heuristic and graph theory techniques to find near-optimal solutions to the problem of connecting all users in the network. The model was implemented in a random scenario, and the results showed that it is effective at finding good solutions to this problem. This work is relevant for planners and designers who are working on network routing issues, as it provides a useful approach for finding solutions that are both efficient and effective. Overall, our model has the potential to aid in the design process for planning networks in a variety of different contexts.
Original language | English |
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Title of host publication | 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350332117 |
DOIs | |
State | Published - 2023 |
Event | 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 - Male, Maldives Duration: 11 Mar 2023 → 12 Mar 2023 |
Publication series
Name | 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 |
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Conference
Conference | 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 |
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Country/Territory | Maldives |
City | Male |
Period | 11/03/23 → 12/03/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- algorithms
- electrical networks
- graph theory
- heuristic
- network planning
- optimal routing