SD-IoV: SDN enabled routing for internet of vehicles in road-aware approach

Proposing an optimal routing protocol for internet of vehicles with reduced overhead has endured to be a challenge owing to the incompetence of the current architecture to manage flexibility and scalability. The proposed architecture, therefore, consolidates an evolving network standard named as software defined networking in internet of vehicles. Which enables it to handle highly dynamic networks in an abstract way by dividing the data plane from the control plane. Firstly, road-aware routing strategy is introduced: a performance-enhanced routing protocol designed specifically for infrastructure-assisted vehicular networks. In which roads are divided into road segments, with road side units for multi-hop communication. A unique property of the proposed protocol is that it explores the cellular network to relay control messages to and from the controller with low latency. The concept of edge controller is introduced as an operational backbone of the vehicle grid in internet of vehicles, to have a real-time vehicle topology. Last but not least, a novel mathematical model is estimated which assists primary controller in a way to find not only a shortest but a durable path. The results illustrate the significant performance of the proposed protocol in terms of availability with limited routing overhead. In addition, we also found that edge controller contributes mainly to minimizes the path failure in the network.

[1]  Mahmoud Al-Ayyoub,et al.  SDIoT: a software defined based internet of things framework , 2015, Journal of Ambient Intelligence and Humanized Computing.

[2]  Sajjad Ahmad Madani,et al.  A traffic flow-oriented routing protocol for VANETs , 2014, EURASIP J. Wirel. Commun. Netw..

[3]  Wang-Cheol Song,et al.  A path analysis of two-level hierarchical road. aware routing in VANETs , 2017, 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN).

[4]  Luigi Rarità,et al.  Optimal distribution of traffic flows in emergency cases , 2012 .

[5]  Sagar Naik,et al.  Intersection-Based Geographical Routing Protocol for VANETs: A Proposal and Analysis , 2011, IEEE Transactions on Vehicular Technology.

[6]  Brian O'Connor,et al.  A Mininet-based Virtual Testbed for Distributed SDN Development , 2015, Computer communication review.

[7]  Akram Hakiri,et al.  Leveraging SDN for The 5G Networks: Trends, Prospects and Challenges , 2015, ArXiv.

[8]  N. Geethanjali,et al.  A novel dead end and packet loss avoidance scheme for geographic forwarding in MANETs , 2013, ARTCom 2013.

[9]  Dharani Kumari Nooji Venkatramana,et al.  SCGRP: SDN-enabled connectivity-aware geographical routing protocol of VANETs for urban environment , 2017, IET Networks.

[10]  Bo Sun,et al.  A Traffic-Light-Aware Routing Protocol Based on Street Connectivity for Urban Vehicular Ad Hoc Networks , 2016, IEEE Communications Letters.

[11]  Ning Lu,et al.  Soft-defined heterogeneous vehicular network: architecture and challenges , 2015, IEEE Network.

[12]  Luigi Rarità,et al.  Optimal paths on urban networks using travelling times prevision , 2012 .

[13]  LantzBob,et al.  A Mininet-based Virtual Testbed for Distributed SDN Development , 2015 .

[14]  Jiannong Cao,et al.  SDVN: enabling rapid network innovation for heterogeneous vehicular communication , 2016, IEEE Network.

[15]  Mohsen Guizani,et al.  Software-Defined Networking for RSU Clouds in Support of the Internet of Vehicles , 2015, IEEE Internet of Things Journal.

[16]  R. Pendse,et al.  Analytical Estimation of Path Duration in Mobile Ad Hoc Networks , 2012, IEEE Sensors Journal.

[17]  Dirk T. M. Slock,et al.  A Newton-type Forward Backward Greedy method for multi-snapshot compressed sensing , 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

[18]  Jiannong Cao,et al.  SDN-Based Routing for Efficient Message Propagation in VANET , 2015, WASA.

[19]  Muhammad Imran,et al.  Congestion avoidance through fog computing in internet of vehicles , 2019, J. Ambient Intell. Humaniz. Comput..

[20]  Jim Esch,et al.  Software-Defined Networking: A Comprehensive Survey , 2015, Proc. IEEE.

[21]  Bahman Abolhassani,et al.  An Adaptive Multipath Geographic Routing for Video Transmission in Urban VANETs , 2016, IEEE Transactions on Intelligent Transportation Systems.

[22]  Mauro Garavello,et al.  Traffic Flow on Networks , 2006 .

[23]  Raj Jain,et al.  Network virtualization and software defined networking for cloud computing: a survey , 2013, IEEE Communications Magazine.

[24]  Luigi Rarità,et al.  Decentralized optimal routing for packets flow on data networks , 2009 .

[25]  Rajendra Gupta,et al.  Routing protocols in VANET — A survey , 2017, 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon).

[26]  Yacine Ghamri-Doudane,et al.  Software defined networking-based vehicular Adhoc Network with Fog Computing , 2015, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM).

[27]  D. Rajan Probability, Random Variables, and Stochastic Processes , 2017 .

[28]  Ozan K. Tonguz,et al.  MoZo: A Moving Zone Based Routing Protocol Using Pure V2V Communication in VANETs , 2017, IEEE Transactions on Mobile Computing.

[29]  Carlos F. Daganzo,et al.  Fundamentals of Transportation and Traffic Operations , 1997 .

[30]  Naveen Chilamkurti,et al.  Differential flow space allocation scheme in SDN based fog computing for IoT applications , 2018 .

[31]  Jing Zhao,et al.  VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks , 2008, IEEE Trans. Veh. Technol..

[32]  Stefano Chessa,et al.  Bounds on hop distance in greedy routing approach in wireless ad hoc networks , 2006, Int. J. Wirel. Mob. Comput..

[33]  Mario Gerla,et al.  Towards software-defined VANET: Architecture and services , 2014, 2014 13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET).