Title :
VehiCloud: Cloud Computing Facilitating Routing in Vehicular Networks
Author :
Qin, Yang ; Huang, Dijiang ; Zhang, Xinwen
Author_Institution :
Huawei Res. Center, Santa Clara, CA, USA
Abstract :
Establishing reliable routing among highly mobile vehicles is a challenging problem in vehicular networks. Towards this issue, we present VehiCloud, a novel cloud computing architecture that leverages emerging cloud computing technologies to deal with unreliable inter-vehicle communications and extend the restricted computational capabilities of mobile devices. A way-point information framework (WIF) is devised within the VehiCloud architecture, aiming to provide routing service for vehicular network, where each vehicle serves as a mobile service node and predicts its future locations by generating way point messages, which describe the trajectory of the vehicle´s movement. A decision module in VehiCloud collects vehicles´ way points and makes routing decisions for inter-vehicle communication. Selected paths of the routing are globally optimized in terms of message delivery ratio by respecting the constraints of end-to-end delay and communication cost. Our implementation of VehiCloud and real-road experiments demonstrate that it is practical and efficient to address fundamental routing problems for vehicular networks.
Keywords :
cloud computing; mobile computing; telecommunication network routing; VehiCloud architecture; cloud computing architecture; communication cost; end-to-end delay; intervehicle communications; mobile service node; mobile vehicles; vehicular networks routing; way-point information framework; Ad hoc networks; Delay; Internet; Mobile communication; Routing; Vehicles; Wireless communication; mobile cloud; routing; vehicular networks;
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4673-2172-3
DOI :
10.1109/TrustCom.2012.16