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Article Dans Une Revue IEEE Transactions on Intelligent Transportation Systems Année : 2023

A Centrality Approach to Select Offloading Data Aggregation Points in Vehicular Sensor Networks

Résumé

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 realistic 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.
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Dates et versions

hal-04189908 , version 1 (03-11-2023)

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Douglas Moura, Geymerson Ramos, Andre Aquino, Antonio Loureiro. A Centrality Approach to Select Offloading Data Aggregation Points in Vehicular Sensor Networks. IEEE Transactions on Intelligent Transportation Systems, 2023, 24 (11), pp.11639 - 11653. ⟨10.1109/TITS.2023.3297886⟩. ⟨hal-04189908⟩
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