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 consequently proposes an optimum spatial entry keep an eye on administration process. A entire assessment and in-depth dialogue of the study literature is integrated. It summarizes the most innovations and techniques, and highlights destiny examine instructions. The short additionally introduces a unique cooperative vehicular conversation 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 web. The offered medium entry keep watch over and vehicular content material distribution similar examine ends up in this short offer valuable insights for the layout strategy 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 pros drawn to vehicular networks or coordinated community sharing will locate Cooperative Vehicular Communications within the Drive-thru net a invaluable reference.
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Additional info for Cooperative Vehicular Communications in the Drive-thru Internet
11 DCF parameters, respectively. 5 shows the distribution of vehicle’s residence time in AP when the coverage range of AP is 50 m, 100 m, and 150 m, respectively. Using our analysis shown in (10), we could evaluate the average residence time within different coverage ranges. 3 Setting of DCF mechanism parameters Parameters p m EŒP PHY RTS CTS SIFS Value 0; 1=2; 1 2; 3; 5 8184 bits 128 bits 160 bits + PHY 112 bits + PHY 28 s Parameters CW max MAC ACK propa Lane number DIFS Value 16; 32; 64 120 km/h 272 bits 112 bits+ PHY 50 s 6 128 s 34 3 Spatial Coordinated Medium Sharing in the Drive-thru Internet 40 L=165 ft L=330 ft L=660 ft Vehicle’s residence time (s) 35 30 25 20 15 10 5 0 0 20 40 60 80 100 The serial number of generated simulation data Fig.
Cheng, X. W. Mark, F. Bai, Vehicles meet infrastructure: toward capacity-cost tradeoffs for vehicular access networks. IEEE Trans. Intell. Transp. Syst. 14(3), 1266–1277 (2013) 5. D. May, Traffic Flow Fundamentals (Prentice Hall, Englewood Cliffs, 1990) 6. D. Zhang, C. Yeo, Enabling efficient wifi-based vehicular content distribution. IEEE Trans. Parallel Distrib. Syst. 24(3), 233–247 (2013) 7. L. C. Lau, O. H. Hui, Analytical models and performance evaluation of drivethru internet systems. IEEE J.
K + 1 g }k / ˝ . ; . 10) . ; ˝ }k / ; k=K . 2 Cooperative Content Distribution Protocol Design Due to the limited sojourn time and large number of contending vehicles within RSU’s coverage, the download volume of individual vehicle is very limited such that it is hard to enjoy the resource-consuming Internet services such as video streaming. To remedy that, we propose ChainCluster to improve the Drive-thru Internet access service. 2 Cooperative Content Distribution Protocol Design 53 cooperation behavior on the highways.
Cooperative Vehicular Communications in the Drive-thru Internet by Haibo Zhou, Lin Gui, Quan Yu, Xuemin (Sherman) Shen