Abstract
The massive growth of mobile vehicles arises immense mobile traffic demand on the current cellular communication system. To cope with this challenge, a new transmission pattern that vehicle nodes cache some data contents in advance and provide data access for future requests via direct contacts has become an appealing solution for data offloading. However due to the limited resources, the fact that vehicle nodes might not be willing to assist data caching and transfer is plausible. Therefore in this paper, we build a reward-based caching-offloading framework, which efficiently offload cellular traffic by exploiting the storage capability and contact opportunity among vehicle nodes. The whole framework is divided into request phase and caching phase, an auction mechanism which comprises the bidding strategy, the response-for-bids strategy, and the prediction method is designed in the former phase and the optimal caching decision can be derived by solving a 0–1 knapsack problem in the latter phase. We conduct simulations on time-evolving topology traces, which validates the feasibility and efficiency of the proposed offloading paradigm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Jiang, D., Delgrossi, L.: IEEE 802.11p: towards an international standard for wireless access in vehicular environments. In: 2008 Vehicular Technology Conference, VTC Spring, pp. 2036–2040. IEEE (2008)
Ye, F., Roy, S., Wang, H.: Efficient data dissemination in vehicular ad hoc networks. IEEE J. Sel. Areas Commun. 30(4), 769–779 (2012)
Yao, H., Zeng, D., Huang, H., Guo, S., Barnawi, A., Stojmenovic, I.: Opportunistic offloading of deadline-constrained bulk cellular traffic in vehicular DTNs. IEEE Trans. Comput. 64(12), 1–1 (2015)
Mao, G., Anderson, B.D.O.: Cooperative content dissemination and offloading in heterogeneous mobile networks. IEEE Trans. Veh. Technol. 65(8), 6573–6587 (2016)
Ezzahidi, S.A., Sabir, E., Kamili, M.E., Bouyakhf, E.H.: A non-cooperative file caching for delay tolerant networks: a reward-based incentive mechanism. In: IEEE Wireless Communications and Networking Conference. IEEE (2016)
Yu, R., Wang, P. :. Node-dependence-based dynamic incentive algorithm in opportunistic networks. In: International Conference on Computer Communication & Networks, pp. 1–8. IEEE (2014)
Zhao, G., Chen, M., Wei, X.: Ris: a reciprocal incentive scheme in selfish opportunistic networks. Wirel. Pers. Commun. 70(4), 1711–1734 (2013)
Zhuo, X., Gao, W., Cao, G., Dai, Y.: Win-coupon: an incentive framework for 3G traffic offloading. In: Proceedings of the 19th annual IEEE International Conference on Network Protocols, ICNP 2011. In: IEEE (2011)
Breslau, L., Cao, P., Fan, L., et al.: Web caching and Zipf-like distributions: evidence and implications. In: Eighteenth Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 1999, pp. 126–134, Proceedings. IEEE (2002)
Connolly, D.: Knapsack problems: algorithms and computer implementations. J. Oper. Res. Soc. 42(6), 513–513 (1991)
Yin, J., Holland, G., Elbatt, T., Bai, F., Krishnan, H.: DSRC channel fading analysis from empirical measurement. In: International Conference on Communications and Networking in China. IEEE Xplore (2007)
Acknowledgements
This work was supported by Department of Product & Infrastructure, China Telecommunication Technology Labs, China Academy of Information and Communications Technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Bao, X. et al. (2019). Mobile Offloading in Vehicular Networks: A Reward-Based Incentive Caching Scheme. In: Milošević, D., Tang, Y., Zu, Q. (eds) Human Centered Computing. HCC 2019. Lecture Notes in Computer Science(), vol 11956. Springer, Cham. https://doi.org/10.1007/978-3-030-37429-7_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-37429-7_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37428-0
Online ISBN: 978-3-030-37429-7
eBook Packages: Computer ScienceComputer Science (R0)