A Geographical Routing Protocol Based on Link Connectivity Analysis for Urban VANETs

Vehicular Ad hoc Networks (VANETs) are important parts of Intelligent Transport System (ITS). As a special kind of mobile ad hoc networks (MANETs), VANETs support dynamic inter-vehicle communications. However, the high mobility of vehicular nodes results in a highly dynamic network topology and the network fragmentations, which brings a great challenge to routing in VANETs. In this paper, we propose a new routing scheme called LCGL for urban VANETs, which is formed by Link Connectivity analysis based on Geographical Location, to overcome the common failures of VANETs routing in urban areas. Combined with a digital city map, LCGL manages the geographic location information of nodes and the connectivity of links. LCGL selects the shortest connected path to forward the packets by calculating the path length and the connectivity of links. Simulation results have shown that LCGL offers stable end-to-end communications, and outperforms existing typical VANETs routing protocols in urban environment, especially in terms of packet delivery rate and average hops. In addition, LCGL achieves a lower delay and jitter, as well as a higher throughput.

[1]  Teresa Maria Vazão,et al.  Geographical routing implementation in ns3 , 2012, SimuTools.

[2]  Azlan Awang,et al.  Routing in Vehicular Ad-hoc Networks: A Survey on Single- and Cross-Layer Design Techniques, and Perspectives , 2017, IEEE Access.

[3]  Abderrahmane Lakas,et al.  IRTIV: Intelligent Routing Protocol Using Real Time Traffic Information in Urban Vehicular Environment , 2014, 2014 6th International Conference on New Technologies, Mobility and Security (NTMS).

[4]  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).

[5]  N. Czink,et al.  Average Downstream Performance of Measured IEEE 802.11p Infrastructure-to-Vehicle Links , 2010, 2010 IEEE International Conference on Communications Workshops.

[6]  Jiafu Wan,et al.  A survey on position-based routing for vehicular ad hoc networks , 2015, Telecommunication Systems.

[7]  Giovanni Pau,et al.  C-VeT the UCLA campus vehicular testbed: Integration of VANET and Mesh networks , 2010, 2010 European Wireless Conference (EW).

[8]  Abbas Jamalipour,et al.  Link stability estimation based on link connectivity changes in mobile ad-hoc networks , 2012, J. Netw. Comput. Appl..

[9]  Said Nader-Esfahani,et al.  Exact probability of connectivity one-dimensional ad hoc wireless networks , 2006, IEEE Communications Letters.

[10]  Juan-Carlos Cano,et al.  An Infrastructureless Approach to Estimate Vehicular Density in Urban Environments , 2013, Sensors.

[11]  R. F.,et al.  Mathematical Statistics , 1944, Nature.

[12]  M. Sobel,et al.  Incomplete Dirichlet integrals with applications to ordered uniform spacings , 1980 .

[13]  Weihua Zhuang,et al.  Infotainment and road safety service support in vehicular networking: From a communication perspective , 2011 .

[14]  Greedy Routing Protocols for Vehicular Ad Hoc Networks , 2008, 2008 International Wireless Communications and Mobile Computing Conference.

[15]  Martin Mauve,et al.  Geographic routing in city scenarios , 2005, MOCO.

[16]  Pandi Vijayakumar,et al.  Comprehensive survey on security services in vehicular ad-hoc networks , 2016 .

[17]  Donghyun Kim,et al.  Cognitive radio based connectivity management for resilient end-to-end communications in VANETs , 2016, Comput. Commun..

[18]  Stuart E. Dreyfus,et al.  An Appraisal of Some Shortest-Path Algorithms , 1969, Oper. Res..

[19]  Ibrahim Mansor,et al.  Rural Public Bus Routing and Bus Stops Detecting Using Global Positioning System and Geographical Information System , 2017 .

[20]  Nenghai Yu,et al.  Distributed Hash Table , 2013, SpringerBriefs in Computer Science.

[21]  Sidi-Mohammed Senouci,et al.  GyTAR: improved greedy traffic aware routing protocol for vehicular ad hoc networks in city environments , 2006, VANET '06.

[22]  Brad Karp,et al.  GPSR : Greedy Perimeter Stateless Routing for Wireless , 2000, MobiCom 2000.

[23]  Aric Hagberg,et al.  Exploring Network Structure, Dynamics, and Function using NetworkX , 2008, Proceedings of the Python in Science Conference.

[24]  Joong Bum Rhim,et al.  Fountain Codes , 2010 .

[25]  Klaus Wehrle,et al.  Modeling and Tools for Network Simulation , 2010, Modeling and Tools for Network Simulation.

[26]  Daniel Krajzewicz,et al.  SUMO (Simulation of Urban MObility) - an open-source traffic simulation , 2002 .

[27]  Yu Wang,et al.  Routing in vehicular ad hoc networks: A survey , 2007, IEEE Vehicular Technology Magazine.

[28]  Li Li,et al.  VeMAC: A TDMA-Based MAC Protocol for Reliable Broadcast in VANETs , 2013, IEEE Transactions on Mobile Computing.