Enhancing VANET connectivity through utilizing autonomous vehicles

Connectivity in vehicular networks is continuously changing due to high mobility of vehicles, causing rapid changes in the network topology. This has a direct negative impact on the throughput and packet transmission delay. Many algorithms and approaches have been proposed to address this problem. However, most of them are not practical due to their dependence on a centralized infrastructure, which are attributed with high cost for installation and maintenance. Vehicular networks are composed of all types of vehicles including autonomous and non-autonomous vehicles. In this paper, we propose addressing the problem of VANET connectivity through controlling the routes and speed of autonomous vehicles according to the density and speed of non-autonomous vehicles. This is achieved through a decentralized cooperative game theory approach that provides a balance between autonomous vehicles' trip duration, and enhancements to the VANET connectivity. We evaluate our proposed approach through extensive simulations using real traffic data, and observe substantial enhancements of up to 46% in the network connectivity using our approach.

[1]  Ehssan Sakhaee,et al.  A Stable Routing Protocol to Support ITS Services in VANET Networks , 2007, IEEE Transactions on Vehicular Technology.

[2]  Hao Wu,et al.  Spatial Propagation of Information in Vehicular Networks , 2009, IEEE Transactions on Vehicular Technology.

[3]  Claudio Casetti,et al.  Planning roadside infrastructure for information dissemination in intelligent transportation systems , 2010, Comput. Commun..

[4]  Hui Liu,et al.  Optimal Placement and Configuration of Roadside Units in Vehicular Networks , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[5]  Claudio Casetti,et al.  A Max Coverage Formulation for Information Dissemination in Vehicular Networks , 2009, 2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications.

[6]  Stephen Gundry,et al.  Self-organization of nodes in mobile ad hoc networks using evolutionary games and genetic algorithms , 2011 .

[7]  Dharma P. Agrawal,et al.  QoSHVCP: hybrid vehicular communications protocol with QoS prioritization for safety applications , 2012 .

[8]  Narottam Chand,et al.  Applications of VANETs: Present & Future , 2013 .

[9]  S. Yousefi,et al.  Vehicular Ad Hoc Networks (VANETs): Challenges and Perspectives , 2006, 2006 6th International Conference on ITS Telecommunications.

[10]  Andrea Goldsmith,et al.  Effects of communication delay on string stability in vehicle platoons , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[11]  Randolph W. Hall,et al.  Analytical Models for Vehicle/Gap Distribution on Automated Highway Systems , 1997, Transp. Sci..

[12]  Marco Fiore,et al.  Large-scale urban vehicular mobility for networking research , 2011, 2011 IEEE Vehicular Networking Conference (VNC).

[13]  H. Young Monotonic solutions of cooperative games , 1985 .

[14]  Yan Meng,et al.  Multi-Robot Searching using Game-Theory Based Approach , 2008 .

[15]  Rakesh Kumar,et al.  A Comparative Study of Various Routing Protocols in VANET , 2011, ArXiv.

[16]  Azzedine Boukerche,et al.  A geometry-based coverage strategy over urban VANETs , 2013, PE-WASUN '13.

[17]  Sergey D. Andreev,et al.  3GPP LTE traffic offloading onto WiFi Direct , 2013, 2013 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[18]  Yunxin Li,et al.  An Overview of the DSRC/WAVE Technology , 2010, QSHINE.

[19]  Soon Yong Lim,et al.  Solving the data overload: Device-to-device bearer control architecture for cellular data offloading , 2013, IEEE Vehicular Technology Magazine.

[20]  Cristian Borcea,et al.  VANET Routing on City Roads Using Real-Time Vehicular Traffic Information , 2009, IEEE Transactions on Vehicular Technology.