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

• Published in: arXiv.org
• Main Authors: Moura, Douglas, Ramos, Geymerson S, Aquino, Andre L L, Loureiro, Antonio
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 20.09.2024
• Subjects: Algorithms; Computer Science - Networking and Internet Architecture; Data management
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2409.13534

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.