QoS-aware roadside base station assisted routing in vehicular networks

Authors:
Chenn-Jung Huang;Yi-Ta Chuang;You-Jia Chen;Dian-Xiu Yang;I-Fan Chen
Affiliations:
Department of Computer & Information Science, College of Science, National Hualien University of Education, Hualien 970, Taiwan;Institute of Computer Science and Engineering, National Chiao Tung University, Hsinchu 300, Taiwan;Department of Computer & Information Science, College of Science, National Hualien University of Education, Hualien 970, Taiwan;Department of Computer & Information Science, College of Science, National Hualien University of Education, Hualien 970, Taiwan;Department of Computer & Information Science, College of Science, National Hualien University of Education, Hualien 970, Taiwan
Venue:
Engineering Applications of Artificial Intelligence
Year:
2009

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Abstract

The transmission technology for intelligent transportation systems can be typically classified into two categories, namely, road-to-vehicle communication (RVC) and inter-vehicle communication (IVC). RVCs perform the information communication service offer from road to vehicle whereas the IVCs perform the information communication through vehicles. This work proposes quality of service (QoS)-aware roadside base station assisted routing mechanisms to establish a routing path in IVC with the assistance of roadside base station. A link failure prevention mechanism is employed to effectively construct alternative routing path required by the volatile network topology in vehicular Ad hoc networks. Besides, a bandwidth consumption predictor is presented to avoid dropping packets owing to inadequate bandwidth during handoffs. A neural network with fast learning algorithm is adopted as the core module for estimating the parameters used in the proposed schemes. Simulation results demonstrate the effectiveness and feasibility of the proposed work.