A Centrality Approach to Select Offloading Data Aggregation Points in Vehicular Sensor Networks
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929508879171584 |
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| author | Moura, Douglas Ramos, Geymerson S. Aquino, Andre L. L. Loureiro, Antonio |
| author_facet | Moura, Douglas Ramos, Geymerson S. Aquino, Andre L. L. Loureiro, Antonio |
| contents | This work proposes a centrality-based approach to identify data offloading points in a VSN. The solution presents a scheme to select vehicles used as aggregation points to collect and aggregate other vehicles' data before uploading it to processing stations. We evaluate the proposed solution in a realis tic simulation scenario derived from data traffic containing more than 700,000 individual car trips for 24 hours. We compare our approach with both a reservation-based algorithm and the optimal solution. Our results indicate an upload cost reduction of 30.92\% using the centrality-based algorithm and improving the aggregation rate by up to 10.45% when considering the centralized scenario. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_13534 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Centrality Approach to Select Offloading Data Aggregation Points in Vehicular Sensor Networks Moura, Douglas Ramos, Geymerson S. Aquino, Andre L. L. Loureiro, Antonio Networking and Internet Architecture This work proposes a centrality-based approach to identify data offloading points in a VSN. The solution presents a scheme to select vehicles used as aggregation points to collect and aggregate other vehicles' data before uploading it to processing stations. We evaluate the proposed solution in a realis tic simulation scenario derived from data traffic containing more than 700,000 individual car trips for 24 hours. We compare our approach with both a reservation-based algorithm and the optimal solution. Our results indicate an upload cost reduction of 30.92\% using the centrality-based algorithm and improving the aggregation rate by up to 10.45% when considering the centralized scenario. |
| title | A Centrality Approach to Select Offloading Data Aggregation Points in Vehicular Sensor Networks |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2409.13534 |