Network selection and data dissemination in heterogeneous software-defined vehicular network

被引:35
|
作者
Chahal, Manisha [1 ]
Harit, Sandeep [1 ]
机构
[1] Punjab Engn Coll, Dept Comp Sci & Engn, Chandigarh, India
关键词
VANET; SDVN; Network selection; Stackelberg game theory; GAME-THEORY; INTERNET; SDN;
D O I
10.1016/j.comnet.2019.06.008
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Vehicular Ad Hoc Network (VANET) is a promising network that is anticipated to be, adaptable, costeffective, and able to provide safety, infotainment, and related services on the road via inter-vehicle or vehicle-to-roadside unit communication. However, the requirements of various vehicular applications are diverse. In a network where applications always employ IEEE 802.11p, bandwidth and coverage range may become insufficient for an application while cellular networks involve high cost. In this context, Software-defined Network (SDN) is an efficient technology for network management in VANETs. This paper presents a Software-defined Vehicular Network (SDVN) Communication using heterogeneous wireless interfaces. Using SDN, network selection is made by applying utility functions and game theory approach. Moreover, we have proposed a data dissemination approach on the selected network, which uses the concept of layering of controllers and link duration. The simulation results prove the effectiveness and efficiency of the proposed scheme, which provides better network performance as compared to the two existing schemes. The proposed scheme under varying density results in an improvement of average End-to-End (E2E) delay by 39.32%, packet delivery ratio by 30.38%, average throughput by 34.87%, and routing overhead by 27%. (C) 2019 Published by Elsevier B.V.
引用
收藏
页码:32 / 44
页数:13
相关论文
共 50 条
  • [1] Intent-Based Network for Data Dissemination in Software-Defined Vehicular Edge Computing
    Singh, Amritpal
    Aujla, Gagangeet Singh
    Bali, Rasmeet Singh
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (08) : 5310 - 5318
  • [2] Toward a Scalable Software-Defined Vehicular Network
    Correia, Sergio
    Boukerche, Azzedine
    GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, 2017,
  • [3] Data Dissemination in Software-Defined Vehicular Networks (Invited Paper)
    Ni, Yuanzhi
    He, Jianping
    Cai, Lin
    2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2017,
  • [4] Network Slicing in Heterogeneous Software-defined RANs
    Qin, Qiaofeng
    Choi, Nakjung
    Rahman, Muntasir Raihan
    Thottan, Marina
    Tassiulas, Leandros
    IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS, 2020, : 2371 - 2380
  • [5] Efficient RSU Selection Scheme for Fog-Based Vehicular Software-Defined Network
    Nkenyereye, Lionel
    Nkenyereye, Lewis
    Quoc-Viet Pham
    Song, JaeSeung
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (11) : 12126 - 12141
  • [6] Software-defined vehicular network (SDVN): A survey on architecture and routing
    Islam, Md Mahmudul
    Khan, Muhammad Toaha Raza
    Saad, Malik Muhammad
    Kim, Dongkyun
    JOURNAL OF SYSTEMS ARCHITECTURE, 2021, 114
  • [7] Prediction and detection model for hierarchical Software-Defined Vehicular Network
    Amari, Houda
    Khoukhi, Lyes
    Belguith, Lamia Hadrich
    PROCEEDINGS OF THE 2022 47TH IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2022), 2022, : 463 - 470
  • [8] Multi-Radio Access Software-Defined Vehicular Network
    Altahrawi, Mohammed A.
    Abdullah, Nor Fadzilah
    Nordin, Rosdiadee
    Ismail, Mahamod
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (08) : 10030 - 10048
  • [9] Towards a Blockchain and Software-Defined Vehicular Networks approaches to secure Vehicular Social Network
    Yahiatene, Youcef
    Rachedi, Abderrezak
    2018 IEEE CONFERENCE ON STANDARDS FOR COMMUNICATIONS AND NETWORKING (IEEE CSCN), 2018,
  • [10] Securing Software-Defined Vehicular Network Architecture against DDoS attack
    Amari, Houda
    Louati, Wassef
    Khoukhi, Lyes
    Belguith, Lamia Hadrich
    PROCEEDINGS OF THE IEEE 46TH CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2021), 2021, : 653 - 656