Calculating transient distributions of cumulative reward
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Wi-Fi in Ad Hoc Mode: A Measurement Study
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
A measurement study of vehicular internet access using in situ Wi-Fi networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Vehicular opportunistic communication under the microscope
Proceedings of the 5th international conference on Mobile systems, applications and services
DTN routing as a resource allocation problem
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Study of a bus-based disruption-tolerant network: mobility modeling and impact on routing
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Relays, base stations, and meshes: enhancing mobile networks with infrastructure
Proceedings of the 14th ACM international conference on Mobile computing and networking
Cabernet: vehicular content delivery using WiFi
Proceedings of the 14th ACM international conference on Mobile computing and networking
Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
Capacity limits in a variable duty cycle IEEE 802.11p-based VANET
Wireless Communications & Mobile Computing
| Hi-index | 0.00 |
Drive-thru Internet systems are multiple-access wireless networks in which users in moving vehicles can connect to a road-side access point (AP) to obtain Internet connectivity for some period of time as the vehicles pass through the AP's coverage range. In order to evaluate the type of communication services and the quality-of-service that these systems can provide, in this paper, we investigate the data communication performance of a vehicle in Drive-thru Internet systems. In particular, we derive practical analytical models with tractable solutions to characterize the average and the distribution of the number of bytes downloaded by a vehicle by the end of its sojourn through an AP's coverage range, in the presence of other vehicles contending for the same AP's resources. Our models are able to quantify the impact of road traffic density, vehicle speed, service penetration rate, AP's transmission range and the corresponding bit rate, on the amount of data downloaded by an individual vehicle. In terms of analysis technique, we map the study of our vehicular data downloading process into the transient analysis of a series of Markov reward processes. Our use of Markov reward model is novel in the sense that we only select from the corresponding Markov chain, a subset of relevant sample paths that matches the required behavior of our vehicular flow model. Using simulations, we also perform sensitivity analysis to verify our modeling assumptions. We believe our work offers a unique analytical framework based on which the interplay between vehicular traffic parameters and a vehicle's data communication performance in a Drive-thru Internet system can be studied and optimized in a systematic, quantitative manner.