Intelligent Traffic Engineering in Software-Defined Vehicular Networking Based on Multi-Path Routing

This paper addresses traffic engineering (TE) issues in software-defined vehicular networking (SDVN). A brief analysis of the features of SDVN, which improves the efficiency of TE in SDVN, is presented. The feasibility of using multi-path routing with TE is substantiated. A procedure and an example of the formation of multiple routes based on a modified wave routing algorithm are given. Considering the features of the SDVN technology, a modified TE method is proposed, which reduces both the time complexity of forming multiple paths and the path reconfiguration time. The dynamic path reconfiguration algorithm is presented.

[1]  Rajendra Gupta,et al.  Adaptive Congestion Controlled Multipath Routing in VANET: A Multiagent Based Approach , 2017, Int. J. Agent Technol. Syst..

[2]  Ahmed Yasser,et al.  VANET routing protocol for V2V implementation: A suitable solution for developing countries , 2017 .

[3]  Eric Gamess,et al.  Design and Implementation of a Benchmarking Tool for OpenFlow Controllers , 2018, International Journal of Information Technology and Computer Science.

[4]  Luis Urquiza-Aguiar,et al.  Survey on Routing Protocols for Vehicular Ad Hoc Networks Based on Multimetrics , 2019, Electronics.

[5]  Kannan Balasubramanian,et al.  Energy Conscious based Multipath Routing Algorithm in WSN , 2016 .

[6]  Lei Guo,et al.  Deep Learning in Edge of Vehicles: Exploring Trirelationship for Data Transmission , 2019, IEEE Transactions on Industrial Informatics.

[7]  Seungmin Rho,et al.  Traffic engineering in software-defined networking: Measurement and management , 2016, IEEE Access.

[8]  Azzedine Boukerche,et al.  Intelligent Traffic Light Controlling Algorithms Using Vehicular Networks , 2016, IEEE Transactions on Vehicular Technology.

[9]  Amr Tolba,et al.  A Three-Tier Architecture for Securing IoV Communications Using Vehicular Dependencies , 2019, IEEE Access.

[10]  Feng Xia,et al.  Geo-Social Distance-Based Data Dissemination for Socially Aware Networking , 2016, IEEE Access.

[11]  Arshad Ali,et al.  State of the Art Routing Protocols in VANETs: A Review , 2018, ANT/SEIT.

[12]  Bin Hu,et al.  When Deep Reinforcement Learning Meets 5G-Enabled Vehicular Networks: A Distributed Offloading Framework for Traffic Big Data , 2020, IEEE Transactions on Industrial Informatics.

[13]  Yasir Ali Matnee,et al.  Analyzing Methods and Opportunities in Software-Defined (SDN) Networks for Data Traffic Optimizations , 2018 .

[14]  Amr Tolba,et al.  Soft computing approaches based bookmark selection and clustering techniques for social tagging systems , 2019, Cluster Computing.

[15]  Bassey Isong,et al.  Trust Establishment in SDN: Controller and Applications , 2017 .

[16]  Wang-Cheol Song,et al.  SD-IoV: SDN enabled routing for internet of vehicles in road-aware approach , 2020, J. Ambient Intell. Humaniz. Comput..

[17]  Salvatore Marano,et al.  A reactive routing protocol for VANETs based on composite metric concept , 2014, International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS 2014).

[18]  Feng Xia,et al.  Cooperative data forwarding based on crowdsourcing in vehicular social networks , 2018, Pervasive Mob. Comput..

[19]  Zhu Wang,et al.  TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change , 2020, IEEE Transactions on Intelligent Transportation Systems.

[20]  Lionel Nkenyereye,et al.  Software-Defined Network-Based Vehicular Networks: A Position Paper on Their Modeling and Implementation , 2019, Sensors.

[21]  Ahmad Mohamad Mezher,et al.  Multimedia Multimetric Map-Aware Routing Protocol to Send Video-Reporting Messages Over VANETs in Smart Cities , 2017, IEEE Transactions on Vehicular Technology.

[22]  Bibhudatta Sahoo,et al.  Software Defined Network: The Next Generation Internet Technology , 2017 .

[23]  Zhuo Yang,et al.  Trust-aware recommendation for improving aggregate diversity , 2015, New Rev. Hypermedia Multim..

[24]  Yurii Kulakov,et al.  Traffic Orchestration in Data Center Network Based on Software-Defined Networking Technology , 2019 .

[25]  S. Siva Sathya,et al.  A Survey on Routing Protocols and its Issues in VANET , 2011 .

[26]  Mahmood Z. Abdullah,et al.  Evaluating and Comparing the Performance of Using Multiple Controllers in Software Defined Networks , 2019 .

[27]  Lei Guo,et al.  Mobile Edge Computing-Enabled Internet of Vehicles: Toward Energy-Efficient Scheduling , 2019, IEEE Network.

[28]  Priyesh Kumar,et al.  A Programmable and Managed Software Defined Network , 2017 .

[29]  Salem Alkhalaf,et al.  Neighbor predictive adaptive handoff algorithm for improving mobility management in VANETs , 2019, Comput. Networks.

[30]  Feng Xia,et al.  Deep Reinforcement Learning for Vehicular Edge Computing , 2019, ACM Trans. Intell. Syst. Technol..

[31]  Azhar Hussain,et al.  Artificial Intelligence for Vehicle-to-Everything: A Survey , 2019, IEEE Access.

[32]  Amr Tolba.  Content accessibility preference approach for improving service optimality in internet of vehicles , 2019, Comput. Networks.

[33]  Shashank Srivastava,et al.  PSO and TLBO based Reliable Placement of Controllers in SDN , 2019 .

[34]  Sajal K. Das,et al.  A social-based watchdog system to detect selfish nodes in opportunistic mobile networks , 2017, Future Gener. Comput. Syst..

[35]  Amr Tolba,et al.  An Intelligence-Based Recurrent Learning Scheme for Optimal Channel Allocation and Selection in Device-to-Device Communications , 2020, Circuits Syst. Signal Process..

[36]  Daqing Zhang,et al.  crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis , 2017, IEEE Transactions on Intelligent Transportation Systems.

[37]  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).

[38]  Amr Tolba,et al.  Trust-based neighbor selection using activation function for secure routing in wireless sensor networks , 2018, Journal of Ambient Intelligence and Humanized Computing.

[39]  Yonggang Wen,et al.  “ A Survey of Software Defined Networking , 2020 .

[40]  Xiaohu Ge,et al.  5G Software Defined Vehicular Networks , 2017, IEEE Communications Magazine.

[41]  Y. Kulakov,et al.  The Method of Plurality Generation of Disjoint Paths Using Horizontal Exclusive Scheduling , 2014 .

[42]  Lei Guo,et al.  Future Communications and Energy Management in the Internet of Vehicles: Toward Intelligent Energy-Harvesting , 2019, IEEE Wireless Communications.

[43]  Suresh Kumar,et al.  Analyzing Multiple Routing Configuration , 2016 .

[44]  Feng Xia,et al.  The Role of Positive and Negative Citations in Scientific Evaluation , 2017, IEEE Access.

[45]  Chao Chen,et al.  TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data , 2018, IEEE Transactions on Intelligent Transportation Systems.

[46]  Feng Xia,et al.  IS2Fun: Identification of Subway Station Functions Using Massive Urban Data , 2017, IEEE Access.