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

• Published in: IEEE transactions on intelligent transportation systems Vol. 24; no. 11; pp. 1 - 15
• Main Authors: Moura, Douglas L. L., Ramos, Geymerson S., Aquino, Andre L. L., Loureiro, Antonio A. F.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Cellular networks; Computer Science; Data aggregation; Data management; Device-to-device communication; Offloading; simulation; Uplink; VANETs; Vehicular ad hoc networks; Wireless fidelity; Wireless sensor networks; Cellular networks; Wireless sensor networks; Vehicular ad hoc networks; Data aggregation; Device-to-device communication; Uplink; Wireless fidelity
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/TITS.2023.3297886

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.