By Haibo Zhou, Lin Gui, Quan Yu, Xuemin (Sherman) Shen
This short offers a unified analytical framework for the assessment of drive-thru web functionality and as a result proposes an optimum spatial entry regulate administration method. A complete review and in-depth dialogue of the study literature is integrated. It summarizes the most techniques and strategies, and highlights destiny examine instructions. The short additionally introduces a unique 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 regulate and vehicular content material distribution comparable learn ends up in this short offer beneficial insights for the layout procedure of wireless enabled vehicular communications and it motivates a brand new line of pondering 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 important reference.
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Additional info for Cooperative Vehicular Communications in the Drive-thru Internet (SpringerBriefs in Electrical and Computer Engineering)
17), we have the probability psu k that psu k D . 1 Qk jD1 Pk /. 22) We can easily prove the lemma. N NL /N 1/ . We consider the RTS/CTS medium access control mechanism, and the collision rts rts can only happen on RTS frames. For such a mechanism, let EŒTsu;z and EŒTbu;z be j j the mean time that the channel is sensed busy within zj -th transmission zone due to rts the successful transmission or a collision, respectively. 1. 30 3 Spatial Coordinated Medium Sharing in the Drive-thru Internet Easily, we can extend the derivation of mean time that a successful and collided transmission within one transmission zone to the case with Pk continual transmission zones.
2 i;j C1C XP Xk jD1 rD1 ˇ ˇ ıi;j . r /ˇ o n 1;i Ä k Ä n;i ; 2 T0 ; n D 1; : : : ; M: XW kD1 =k fcn j n 1;i Ä Nin . 18), which denotes the average throughput when all vehicles within RSU’s coverage fairly share the transmission opportunity. 19). In a practical case, we can quickly estimate the number of required cooperative vehicles simply by Nc d =˚vi e. 2 Cooperative Content Distribution Protocol Design 57 The expression of Eq. 2 Content Download Phase According to the analysis in the cluster forming phase, the tagged vehicle will select Nc 1 vehicles that follow behind it and have similar mobility for cooperative content download.
H. 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.