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arXiv · 2409.13534

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

Douglas Moura·Geymerson S. Ramos·Andre L. L. Aquino·Antonio Loureiro
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Abstract

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.

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Douglas Moura, Geymerson S. Ramos, Andre L. L. Aquino, Antonio Loureiro. 2024-09-20. A Centrality Approach to Select Offloading Data Aggregation Points in Vehicular Sensor Networks. https://doi.org/10.1109/tits.2023.3297886

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