DocumentCode
583119
Title
Cooperative Downloading Strategy on Highway Scenario
Author
Liu, Jianhang ; Ge, Yuming ; Bi, Jingping ; Guo, Lei
Author_Institution
Coll. of Comput. & Commun. Eng., China Univ. of Pet., Qingdao, China
fYear
2012
fDate
27-29 Oct. 2012
Firstpage
828
Lastpage
832
Abstract
Cooperative downloading can increase the amount of received data for mobile users accessing the Internet via WIFI in highway scenarios where The Access Points (APs) distribute sparsely[2]. In the case of multi-requests from different users, however, some schemes such as random selection or FIFO method not only fail to distinguish different users´ service demands, but also bring little benefit for service providers. To address the problem, this paper proposes a cooperative downloading strategy with multi-class request. The strategy distinguishes users´ downloading priorities according to user-defined downloading class. Under satisfying the fairness of system operation condition, the strategy provides different services according to users´ expectation. Furthermore, the strategy helps service providers obtain the most benefit by making use of the repetition ratio of data and user-defined class. Simulation results indicate the benefits of the proposed scheme in terms of increasing service quality for users and benefit for services providers.
Keywords
Internet; information retrieval; mobile computing; random processes; roads; vehicular ad hoc networks; FIFO method; Internet access; VANET; WiFi; cooperative downloading strategy; data repetition ratio; highway scenario; mobile users; multiclass request; random selection scheme; roadside access point distribution; user service demand; user-defined downloading class; Delay; IEEE 802.11 Standards; Internet; Mobile communication; Road transportation; USA Councils; Vehicles; Cooperative downloading strategy; Dynamic slot; VANET;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-4873-7
Type
conf
DOI
10.1109/CIT.2012.172
Filename
6392008
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