A Seamless Mobility Mechanism for V2V Communications

The wireless Internet of Things (IoT) is the future of Internet technologies in which every object around us will be connected using some kind of network to every other object, and they will have the capability to send and receive data from them. IoT will trigger a large range of use cases. One interesting and prominent use case is Vehicle-to-Everything (V2X) communications, which aim at revolutionizing the travelling experience especially within a smart city. The connected vehicles enable the exchange of information between the vehicle and its surroundings via the IoT. V2X communications face great challenges due to the special features in mobility, such as high mobility, frequent topology changes. Hence, as vehicles move in and out of the coverage areas of other vehicles, Wi-Fi and cellular base stations, and change their communication Point of Attachment (PoA), mobility management aims to provide a seamless communication by efficient handover strategies and Radio Access Technology (RAT) selection schemes. In this paper, we present a novel multi-criteria handover algorithm to select the best RAT for V2X communications. Fuzzy logic system is used to decide whether a target candidate is suitable for handover. The efficiency of our mechanism is evaluated through appropriate simulation by using OMNET++, SUMO and VeinsLTE framework. The properties of our mechanism satisfy the service continuity requirements while decreasing the V2V handover failure rate and the handover failure rate mode switch.

[1]  Onur Altintas,et al.  Context-aware heterogeneous V2I communications , 2015, 2015 7th International Workshop on Reliable Networks Design and Modeling (RNDM).

[2]  Noureddine Hamdi,et al.  QoS-Aware Video Transmission Over Hybrid Wireless Network for Connected Vehicles , 2017, IEEE Access.

[3]  Barbara M. Masini,et al.  Performance Analysis of V2V Beaconing Using LTE in Direct Mode With Full Duplex Radios , 2015, IEEE Wireless Communications Letters.

[4]  Thomas Kürner,et al.  A Data Traffic Steering Algorithm for IEEE 802.11p/LTE Hybrid Vehicular Networks , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).

[5]  Sinem Coleri Ergen,et al.  Multihop-Cluster-Based IEEE 802.11p and LTE Hybrid Architecture for VANET Safety Message Dissemination , 2016, IEEE Transactions on Vehicular Technology.

[6]  Nancy Alonistioti,et al.  Context-aware, user-driven, network-controlled RAT selection for 5G networks , 2017, Comput. Networks.

[7]  Navrati Saxena,et al.  Next Generation 5G Wireless Networks: A Comprehensive Survey , 2016, IEEE Communications Surveys & Tutorials.

[8]  Emmanuel Ndashimye,et al.  A Novel Network Selection Mechanism for Vehicle-to-Infrastructure Communication , 2016, 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).

[9]  Polipalli Trinatha Rao,et al.  EHSD: An Exemplary Handover Scheme During D2D Communication Based on Decentralization of SDN , 2017, Wirel. Pers. Commun..

[10]  A. Varga,et al.  THE OMNET++ DISCRETE EVENT SIMULATION SYSTEM , 2003 .

[11]  Falko Dressler,et al.  Poster: A simulator for heterogeneous vehicular networks , 2014, 2014 IEEE Vehicular Networking Conference (VNC).

[12]  Daniel Krajzewicz,et al.  SUMO - Simulation of Urban MObility An Overview , 2011 .

[13]  Eun-Kyu Lee,et al.  LTE Network Enhancement for Vehicular Safety Communication , 2017, Mob. Inf. Syst..