V2V and V2R for cellular resources saving in vehicular applications

Considering vehicles as sensors for traffic and pollution information is a new paradigm to monitor the environment and to open the way to an efficient smart navigation. In this work we focus on the uplink acquisition of traffic information from vehicles toward a remote control center. With the increase in the number of vehicles equipped with on board units (OBUs) enabling cellular transmissions, this service is leading to higher loads for the cellular network itself and, consequently, to higher costs. In this paper we discuss the opportunity to take advantage of vehicle-to-vehicle (V2V) and vehicle-to-roadside communications in addition to vehicle-to-infrastructure cellular transmissions. The objective is twofold: to investigate the potential reduction of data transmitted over the cellular networks and to verify the potential transmission delay reduction, by sharing and aggregating information through V2V communications. Results are obtained through an integrated simulation platform jointly taking into account both realistic vehicular environments and wireless network communication aspects.

[1]  Barbara M. Masini,et al.  On the Frequent Acquisition of Small Data Through RACH in UMTS for ITS Applications , 2011, IEEE Transactions on Vehicular Technology.

[2]  Luca Delgrossi,et al.  IEEE 802.11p: Towards an International Standard for Wireless Access in Vehicular Environments , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[3]  Barbara M. Masini,et al.  Telecommunication systems enabling real time navigation , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[4]  Zhigang Cao,et al.  Low Complexity Outage Optimal Distributed Channel Allocation for Vehicle-to-Vehicle Communications , 2011, IEEE Journal on Selected Areas in Communications.

[5]  Fan Bai,et al.  Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band , 2007, IEEE Journal on Selected Areas in Communications.

[6]  B.M. Masini,et al.  On the Effectiveness of a GPRS based Intelligent Transportation System in a Realistic Scenario , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[7]  Antonella Molinaro,et al.  Vehicle-to-Roadside Multihop Data Delivery in 802.11p/WAVE Vehicular Ad Hoc Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[8]  Fredrik Tufvesson,et al.  Path Loss Modeling for Vehicle-to-Vehicle Communications , 2011, IEEE Transactions on Vehicular Technology.

[9]  Barbara M. Masini,et al.  Architecture of a simulation platform for the smart navigation service investigation , 2010, 2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications.

[10]  Gianni Pasolini,et al.  SHINE: Simulation platform for Heterogeneous Interworking Networks , 2006, 2006 IEEE International Conference on Communications.

[11]  Yan Zhang,et al.  Vehicular Networks: Techniques, Standards, and Applications , 2009 .