QoS-aware roadside base station assisted routing in vehicular networks

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.

[1]  Young-uk Chung,et al.  Enhanced soft-handoff scheme for real-time streaming services in intelligent transportation systems based on CDMA , 2006, IEEE Trans. Intell. Transp. Syst..

[2]  Yu-Chee Tseng,et al.  The Broadcast Storm Problem in a Mobile Ad Hoc Network , 1999, Wirel. Networks.

[3]  Zoran Obradovic,et al.  Small Depth Polynomial Size Neural Networks , 1990, Neural Computation.

[4]  Jing Zhao,et al.  Data Pouring and Buffering on the Road: A New Data Dissemination Paradigm for Vehicular Ad Hoc Networks , 2007, IEEE Transactions on Vehicular Technology.

[5]  Wu-chi Feng,et al.  GPS-based message broadcasting for inter-vehicle communication , 2000, Proceedings 2000 International Conference on Parallel Processing.

[6]  Klara Nahrstedt,et al.  Distributed quality-of-service routing in ad hoc networks , 1999, IEEE J. Sel. Areas Commun..

[7]  Martin Mauve,et al.  A comparison of routing strategies for vehicular ad-hoc networks , 2002, MobiCom 2002.

[8]  P. L. Olson,et al.  Effect of Driver's Age on Nighttime Legibility of Highway Signs , 1981, Human factors.

[9]  Hannes Hartenstein,et al.  FleetNet: Bringing Car-to-Car Communication into the Real World , 2004 .

[10]  Bart van Arem,et al.  The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics , 2006, IEEE Transactions on Intelligent Transportation Systems.

[11]  Eylem Ekici,et al.  A cross-layer multihop data delivery protocol with fairness guarantees for vehicular networks , 2006, IEEE Transactions on Vehicular Technology.

[12]  J.F. Luy,et al.  A wireless data link for mobile applications , 2003, IEEE Microwave and Wireless Components Letters.

[13]  Martin Mauve,et al.  A survey on position-based routing in mobile ad hoc networks , 2001, IEEE Netw..

[14]  M. Heddebaut,et al.  Inter-vehicle communication based on ultra-wide band and CDMA techniques , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[15]  Branimir R. Vojcic,et al.  Adaptive modulation in ad hoc DS/CDMA packet radio networks , 2006, IEEE Transactions on Communications.

[16]  C. Maihofer,et al.  Geocast in vehicular environments: caching and transmission range control for improved efficiency , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[17]  Petros A. Ioannou,et al.  Analysis of traffic flow with mixed manual and semiautomated vehicles , 2003, IEEE Trans. Intell. Transp. Syst..

[18]  Guang-Bin Huang,et al.  Learning capability and storage capacity of two-hidden-layer feedforward networks , 2003, IEEE Trans. Neural Networks.

[19]  S. M. Cherry Broadband a go-go , 2003 .

[20]  Chee Kheong Siew,et al.  Real-time learning capability of neural networks , 2006, IEEE Trans. Neural Networks.

[21]  Makoto Itami,et al.  A Study on DS/SS Inter Vehicle Communication System Using Array Antenna , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[22]  Lixin Gao,et al.  Prediction-Based Routing for Vehicular Ad Hoc Networks , 2007, IEEE Transactions on Vehicular Technology.

[23]  Patricia R. DeLucia,et al.  Judgments about collision in younger and older drivers , 2003 .

[24]  S.N. de Ridder,et al.  Staying Oriented While Driving , 2002 .

[25]  Robert Tappan Morris,et al.  CarNet: a scalable ad hoc wireless network system , 2000, ACM SIGOPS European Workshop.

[26]  Chee Kheong Siew,et al.  A fast constructive learning algorithm for single-hidden-layer neural networks , 2004, ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004..

[27]  Hao Wu,et al.  MDDV: a mobility-centric data dissemination algorithm for vehicular networks , 2004, VANET '04.

[28]  Tong Heng Lee,et al.  Geometrical interpretation and architecture selection of MLP , 2005, IEEE Transactions on Neural Networks.

[29]  Chee Kheong Siew,et al.  Extreme learning machine: Theory and applications , 2006, Neurocomputing.

[30]  Tomasz Imielinski,et al.  GPS-Based Addressing and Routing , 1996, RFC.