An offloading mechanism for vehicle sensor networks

• Douglas L. L. Moura Universidade Federal de Minas Gerais
• Andre L. L. de Aquino Universidade Federal de Alagoas
• Antonio A. F. Loureiro Universidade Federal de Minas Gerais

DOI: https://doi.org/10.5753/sbrc.2019.7366

Abstract

The vehicular network refers to a promising approach of having vehicles equipped with wireless communication devices capable of communicating with other vehicles. Each vehicle is able to collect, process and disclose information about itself and its environment. Acquiring a large amount of sensing information and increasing traffic demand requires mechanisms to decongest the cellular network. Thus, this work uses a measure of centrality to propose an offloading mechanism, in which certain vehicles will collect data from their neighbors and transmit it on the cellular uplink. The experiments were conducted in a real scenario and the results found showed a reduction of up to 8.79% in the number of accesses to the cellular network compared to another solution in the literature.

Keywords: Vehicular Networks, Wireless Communication, Congestion Control

References

Bazzi, A., Masini, B. M., Zanella, A., and Pasolini, G. (2015). IEEE 802.11p for cellular offloading in vehicular sensor networks. COMPUTER COMMUNICATIONS, 60:97– 108.

Behrisch, M., Bieker, L., Erdmann, J., and Krajzewicz, D. (2011). Sumo – simulation of urban mobility. The Third International Conference on Advances in System Simulation, pages 55–60.

Campolo, C., Molinaro, A., and Scopigno, R. (2015). Vehicular ad hoc Networks: Standards, Solutions, and Research. Springer, 1 edition.

Costa, L. D., Rodrigues, F. a., Travieso, G., and Boas, P. R. V. (2007). Characterization of complex networks: a survey of measurements. Advances in Physics, 56(1):167–242.

Dua, A., Kumar, N., and Bawa, S. (2017). Game theoretic approach for real-time data dissemination and offloading in vehicular ad hoc networks. Journal of Real-Time Image Processing, 13(3):627–644.

Forecast, C. V. (2017). Global Mobile Data Traffic Forecast Update, 2016–2021. https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visualnetworking- index-vni/mobile-white-paper-c11-520862.html. [Acesso em: 25 nov. 2018].

Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3):215 – 239.

Hartenstein, H. and Laberteaux, K. (2010). VANET: Vehicular Applications and Inter- Networking Technologies. Wiley.

Kolios, P., Ellinas, G., and Panayiotou, C. (2013). Vehicular Data Offloading under Uncertain Journey Planners. In 2013 INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (ICCVE), International Conference on Connected Vehicles and Expo, pages 544–550.

Lee, S. and Lee, S. (2013). User-centric offloading to WLAN in WLAN/3G vehicular networks. Wireless Personal Communications, 70(4):1925–1940.

Lee, U., Magistretti, E., Zhou, B., Gerla, M., Bellavista, P., and Corradi, A. (2006). Efficient data harvesting in mobile sensor platforms. In Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW’ 06), pages 5 pp.–356.

Li, Y., Jin, D., Wang, Z., Zeng, L., and Chen, S. (2014). Coding or Not: Optimal Mobile Data Offloading in Opportunistic Vehicular Networks. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 15(1):318–333.

Li, Z., Liu, Y., Zhu, H., and Sun, L. (2015). Coff: Contact-duration-aware cellular traffic offloading over delay tolerant networks. IEEE Transactions on Vehicular Technology, 64(11):5257–5268.

Lin, Y.-D., Ku, C.-Y., Lai, Y.-C., and Liang, Y.-H. (2018). Wi-fi offloading between lte and wlan with combined ue and bs information. Wireless Networks, 24(4):1033–1042.

Mao, G., Zhang, Z., and Anderson, B. D. O. (2016). Cooperative Content Dissemination and Offloading in Heterogeneous Mobile Networks. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 65(8):6573–6587.

Mezghani, F., Dhaou, R., Nogueira, M., and Beylot, A.-L. (2016). Offloading Cellular Networks Through V2V Communications - How to Select the Seed-Vehicles? In 2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE International Conference on Communications. IEEE; IEEE Commun Soc.

Nunes, D. F., Moreira, E. S., Kimura, B. Y., Sastry, N., and Mahmoodi, T. (2017). Attraction-Area Based Geo-Clustering for LTE Vehicular CrowdSensing Data Offloading. Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems - MSWiM ’17, pages 323–327.

Salvo, P., Turcanu, I., Cuomo, F., Baiocchi, A., and Rubin, I. (2016). LTE Floating Car Data application off-loading via VANET driven clustering formation. In 2016 12TH ANNUAL CONFERENCE ON WIRELESS ON-DEMAND NETWORK SYSTEMS AND SERVICES (WONS), pages 192–199.

Stanica, R., Fiore, M., and Malandrino, F. (2013). Offloading floating car data. 2013 IEEE 14th International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2013, pages 1–9.

Uppoor, S., Trullols-Cruces, O., Fiore, M., and Barcelo-Ordinas, J. M. (2014). Generation and analysis of a large-scale urban vehicular mobility dataset. IEEE Transactions on Mobile Computing, 13(5):1061–1075.

Wang, J., Jiang, C., Zhang, K., Quek, T. Q. S., Ren, Y., and Hanzo, L. (2018). Vehicular sensing networks in a smart city: Principles, technologies and applications. IEEE Wireless Communications, 25(1):122–132.

Yuan, Q., Li, J., Liu, Z., and Yang, F. (2016). Space and time constrained data offloading in vehicular networks. In 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pages 398–405.

Zhu, X., Li, Y., Jin, D., and Lu, J. (2017). Contact-Aware Optimal Resource Allocation for Mobile Data Offloading in Opportunistic Vehicular Networks. IEEE Transactions on Vehicular Technology, 66(8):7384–7399.