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.
@article{arxiv.2409.13534,
title = {A Centrality Approach to Select Offloading Data Aggregation Points in Vehicular Sensor Networks},
author = {Douglas Moura and Geymerson S. Ramos and Andre L. L. Aquino and Antonio Loureiro},
journal= {arXiv preprint arXiv:2409.13534},
year = {2024}
}