Abstract
With the development and spread of IoT technology, various devices have been connected to networks. Some data generated from IoT devices depends on geographical location and time (Spatio-Temporal Data). The realization of an architecture for “local production and consumption of STDs” can contribute to location-dependent applications, and therefore we have proposed the STD retention system with vehicles. In our previous study, the vehicle controlled the data transmission probability according to the density of the neighboring vehicles in order to reduce the data transmissions. However, since this method requires all vehicles to transmit beacons, it suffers from the excessive beacon collision when the vehicle density becomes high. In this paper, we propose a data transmission control method that realizes STD retention without transmitting beacons. Our simulation results using Luxembourg model demonstrates that the proposed method can achieve high coverage rate while decreasing the number of data transmissions compared with the existing transmission method based on transmission probability control in real environments.
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Notes
- 1.
We also simply describe the STD as data when explaining the proposed method.
References
Cisco Annual Internet Report (2018–2023). https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html
Nobayashi, D., Goto, I., Teshiba, H., Tsukamoto, K., Ikenaga, T., Gerla, M.: Adaptive data transmission control for spatio-temporal data retention over crowds of vehicles. IEEE Trans. Mob. Comput. Early Access (2021)
Teshiba, H., Nobayashi, D., Tsukamoto, K., Ikenaga, T.: Adaptive data transmission control for reliable and efficient spatio-temporal data retention by vehicles. In: Proceedings of ICN 2017, pp. 46–52, April 2017
Goto, I., Nobayashi, D., Tsukamoto, K., Ikenaga, T., Lee, M.J.: Transmission control method for data retention taking into account the low vehicle density environments. IEICE Trans. Inf. Syste. E104-D(4), 508–512 (2021)
Yamasaki, S., Nobayashi, D., Tsukamoto, K., Ikenaga, T., Lee, M.J.: Efficient data diffusion and elimination control method for spatio-temporal data retention system. IEICE Trans. Commun. E104-B(7), 805–816 (2021)
Maihofer, C.: A survey of geocast routing protocols. IEEE Commun. Surv. Tutor. 6(2), 32–42 (2004)
Maihofer, C., Leinmuller, T., Schoch, E.: Abiding geocast: time-stable geocast for ad hoc networks. In: Proceedings of ACM VANET, pp. 20–29 (2005)
Maio, A., Soua, R., Palattella, M., Engel, T., Rizzo, G.: A centralized approach for setting floating content parameters in VANETs. In: 14th IEEE Annual Consumer Communications & CCNC 2017, pp. 712–715, January 2017
Manzo, G., Otalora, S., Braun, T., Marsan, M., Rizzo, G., Nguyen, H.: DeepFloat: resource-efficient dynamic management of vehicular floating content. In: 2019 31st International Teletraffic Congress (ITC 31), pp. 46–54 (2019)
Rizzo, G., Neukirchen, H.: Geo-based content sharing for disaster relief applications. In: International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing. Advance in Intelligent System and Computing, vol. 612, pp. 894–903 (2017)
Leontiadis, I., Costa, P., Mascolo, C.: Persistent content-based information dissemination in hybrid vehicular networks. In: Proceedings of IEEE PerCom, pp. 1–10 (2009)
Ott, J., Hyyti, E., Lassila, P., Vaegs, T., Kangasharju, J.: Floating content: information sharing in urban areas. In: Proceedings of IEEE PerCom, pp. 136–146 (2011)
Thompson, N., Crepaldi, R., Kravets, R.: Locus: a location-based data overlay for disruption-tolerant networks. In: Proceedings of ACM CHANTS, pp. 47–54 (2010)
Zhu, C., Lee, M.J., Saadawi, T.: A smart broadcast scheme for wireless military networks. In: Proceedings of IEEE Military Communications Conference (MILCOM 2004), pp. 251–257 (2004)
Zhu, C., Lee, M.J., Saadawi, T.: A border-aware broadcast scheme for wireless ad hoc network. In: Proceedings of IEEE Consumer Communications and Networking Conference (CCNC 2004), pp. 134–139 (2004)
OMNeT++. https://omnetpp.org/
SUMO. http://www.dlr.de/ts/en /desktopdefault.aspx/tabid-9883/16931_read-41000/
Veins. http://veins.car2x.org/
Codeca, L., Frank, R., Engel, T.: Luxembourg SUMO Traffic (LuST) scenario: 24 hours of mobility for vehicular networking research. In: 2015 IEEE Vehicular Networking Conference (VNC), pp. 1–8 (2015)
Acknowledgements
This work was supported in part by the Japan Society for Promotion of Science (JSPS) KAKENHI under Grants 20K11792, and the National Institute of Information and Communication Technology (NICT). Finally, we would like to express our appreciation to Ichiro Goto for his great contribution to this research.
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Nobayashi, D., Tsukamoto, K., Ikenaga, T., Lee, M. (2023). Location-Based Autonomous Transmission Control Method for Spatio-Temporal Data Retention System. In: Barolli, L. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2022. Lecture Notes in Networks and Systems, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-031-20029-8_22
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