Software-defined networking in cyber-physical systems: A survey

被引:68
|
作者
Molina, Elias [1 ]
Jacob, Eduardo [1 ]
机构
[1] Univ Basque Country, UPV EHU, Dept Commun Engn, Alameda Urquijo S-N, Bilbao 48013, Spain
关键词
Cyber-Physical Systems; Industrial Control Systems; OpenFlow; Smart Grid; SDN; CHALLENGES; DESIGN;
D O I
10.1016/j.compeleceng.2017.05.013
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Cyber-Physical Systems (CPSs) rely on networks that interconnect sensors and actuators to perform measurement, supervision and protection functions in different domains, such as transportation and industrial automation control systems. These networks must be able to support mobile wireless CPSs that are demanding new requirements related to flexibility and heterogeneity without compromising the Quality of Service (QoS). However, it is hard to determine, for example, the optimal resource allocation or the most reliable paths without global network information. In this way, the Software-Defined Networking paradigm is being considered as key to overcome such emerging needs. In particular, an SDN controller is able to establish paths between sensors and actuators according to bandwidth, latency, redundancy, and safety considerations. Thus, the goal of this paper is to review the state of the art of SDN approaches applied to mission-critical applications by identifying trends, challenges and opportunities for the potential development of software-defined cyber-physical networks. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:407 / 419
页数:13
相关论文
共 50 条
  • [1] Cyber-Physical Systems: Prospects, Challenges and Role in Software-Defined Networking and Blockchains
    Ghosh, Uttam
    Tosh, Deepak
    Qureshi, Nawab Muhammad Faseeh
    Bashir, Ali Kashif
    Pathan, Al-Sakib Khan
    Ning, Zhaolong
    [J]. FUTURE INTERNET, 2022, 14 (12):
  • [2] Cyberattack Impact Reduction using Software-Defined Networking for Cyber-Physical Production Systems
    Specht, Felix
    Otto, Jens
    Eickmeyer, Jens
    [J]. 2022 IEEE 20TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2022, : 188 - 194
  • [3] Software-Defined Cyber-Physical Multinetworks
    Qin, Zhijing
    Ngoc Do
    Denker, Grit
    Venkatasubramanian, Nalini
    [J]. 2014 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC), 2014, : 322 - 326
  • [4] Software Defined Networking for Communication and Control of Cyber-physical Systems
    Ahmed, Khandakar
    Blech, Jan Olaf
    Gregory, Mark A.
    Schmidt, Heinrich
    [J]. 2015 IEEE 21ST INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS), 2015, : 803 - 808
  • [5] Enhancing the Resiliency of Cyber-Physical Systems with Software-Defined Networks
    Salazar, Luis E.
    Cardenas, Alvaro A.
    [J]. CPS-SPC'19: PROCEEDINGS OF THE ACM WORKSHOP ON CYBER-PHYSICAL SYSTEMS SECURITY & PRIVACY, 2019, : 15 - 26
  • [6] Programmable and Reconfigurable Cyber-Physical Networked Microgrids through Software-Defined Networking
    Li, Yan
    Du, Liang
    [J]. 2021 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC), 2021, : 255 - 259
  • [7] A Knowledge Graph Framework for Software-Defined Industrial Cyber-Physical Systems
    Li, Ruoqi
    Dai, Wenbin
    He, Sheng
    Chen, Xiaosheng
    Yang, Genke
    [J]. 45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019), 2019, : 2877 - 2882
  • [8] A Survey on Software-Defined Networking
    Xia, Wenfeng
    Wen, Yonggang
    Foh, Chuan Heng
    Niyato, Dusit
    Xie, Haiyong
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (01): : 27 - 51
  • [9] Software-Defined Networking: A survey
    Farhady, Hamid
    Lee, HyunYong
    Nakao, Akihiro
    [J]. COMPUTER NETWORKS, 2015, 81 : 79 - 95
  • [10] Stacking ensemble approach for DDoS attack detection in software-defined cyber-physical systems
    Mall, Ramya
    Abhishek, Kumar
    Manimurugan, S.
    Shankar, Achyut
    Kumar, Abhay
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2023, 107