Context-driven disruption tolerant networking for vehicular applications

In this paper, we describe how a context-driven disruption tolerant network may be utilized for vehicular applications. The key concept involves utilizing contextual information pertaining to space and time settings of applications to drive networking functions. As a result, the performance characteristics may be better attuned to the time-scale of relevant vehicular applications. We discuss the protocol highlights and present a compact grid-based method for performance evaluation of such systems. Novel metrics such as information freshness demonstrate the discrete nature of information dissemination. Additionally, we observe that asymptotic evaluation of metrics such as packet delivery ratio do not provide a realistic picture of application performance. As a consequence, the time-scale of interest for the applications becomes crucial.

[1]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

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

[3]  David R. Karger,et al.  A scalable location service for geographic ad hoc routing , 2000, MobiCom '00.

[4]  Imrich Chlamtac,et al.  A distance routing effect algorithm for mobility (DREAM) , 1998, MobiCom '98.

[5]  Martin Mauve,et al.  A routing strategy for vehicular ad hoc networks in city environments , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[6]  Mario Gerla,et al.  TO-GO: TOpology-assist geo-opportunistic routing in urban vehicular grids , 2009, 2009 Sixth International Conference on Wireless On-Demand Network Systems and Services.

[7]  Wai Chen,et al.  Achieving High-Rate Multi-Hop Data Delivery in Vehicular Networks , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[8]  Jing Zhao,et al.  VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[9]  Mario Gerla,et al.  GeoDTN+Nav: A Hybrid Geographic and DTN Routing with Navigation Assistance in Urban Vehicular Networks , 2008 .

[10]  Uichin Lee,et al.  Enhanced Perimeter Routing for Geographic Forwarding Protocols in Urban Vehicular Scenarios , 2007, 2007 IEEE Globecom Workshops.

[11]  Jing Tian,et al.  Spatially aware packet routing for mobile ad hoc inter-vehicle radio networks , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

[12]  Cecilia Mascolo,et al.  GeOpps: Geographical Opportunistic Routing for Vehicular Networks , 2007, 2007 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[13]  Manish Agarwal,et al.  A study on the feasibility of mobile gateways for vehicular ad-hoc networks , 2004, VANET '04.

[14]  Tarik Taleb,et al.  An efficient vehicle-heading based routing protocol for VANET networks , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[15]  Brian Gallagher,et al.  MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[16]  Brad Karp,et al.  GPSR: greedy perimeter stateless routing for wireless networks , 2000, MobiCom '00.

[17]  T Kosch,et al.  INFORMATION DISSEMINATION INMULTIHOP INTER-VEHICLE NETWORKS – ADAPTING THE ADHOC ON-DEMAND DISTANCE VECTOR ROUTING PROTOCOL (AODV) , 2002 .