By Haibo Zhou, Lin Gui, Quan Yu, Xuemin (Sherman) Shen
This short offers a unified analytical framework for the overview of drive-thru net functionality and hence proposes an optimum spatial entry keep watch over administration strategy. A entire review and in-depth dialogue of the study literature is integrated. It summarizes the most strategies and techniques, and highlights destiny examine instructions. The short additionally introduces a singular cooperative vehicular verbal exchange framework including a fragile linear cluster formation scheme and low-delay content material forwarding method of supply a versatile and effective vehicular content material distribution within the drive-thru net. The provided medium entry keep watch over and vehicular content material distribution similar study ends up in this short supply beneficial insights for the layout process of wireless enabled vehicular communications and it motivates a brand new line of considering for the functionality improvements of destiny vehicular networking. Advanced-level scholars, researchers and execs attracted to vehicular networks or coordinated community sharing will locate Cooperative Vehicular Communications within the Drive-thru web a beneficial reference.
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Additional resources for Cooperative Vehicular Communications in the Drive-thru Internet
If the needed vehicle number is larger than the vehicle number in the formed cluster by using the one-hop broadcasting cooperation messages, the tagged vehicle should adapt the download task to available cluster size. In addition, as the data download volume of a ChainCluster is closely related to the vehicle mobility, the cluster formation should also adapt the time-varying velocity of vehicles. In what follows, we provide the analysis to guide the tagged vehicles to evaluate the throughput of cooperative Drive-thru Internet and the number of vehicles in ChainCluster.
Hui, Analytical models and performance evaluation of drivethru internet systems. IEEE J. Sel. Areas Commun. 29(1), 207–222 (2011) References 43 8. J. Harri, F. Filali, C. Bonnet, Mobility models for vehicular ad hoc networks: a survey and taxonomy. IEEE Commun. Surv. Tutorials 11(4), 19–41 (2009) 9. K. Abboud, W. Zhuang, Modeling and analysis for emergency messaging delay in vehicular ad hoc networks, in Proceedings of GLOBECOM (IEEE, Honolulu, 2009), Honolulu, Hawaii, pp. 1–6 10. R. 11 g, in Cisco Systems White Paper, San Jose, CA, 2005 11.
Definition 2. 11 protocol, and Lsi D zj 2Z rsi ;zj . 4) 160 60 50 140 5 90 5 5 40 20 20 30 10 30 20 30 110 We consider a unified multi-rate IEEE 802:11 transmission rate model, which is denoted in Definitions 1 and 2. 5). t/ is the sojourn time within RSU’s coverage using mean driving speed N . 1 We show the relationship between the distance dn and transmission rate in Fig. 2, in which the unit of distance and transmission rate is with ft and Mbps, respectively. Clearly, except in few special distance points in Fig.