HIC: A high-reliable in-band control network for perception layer of software-defined IoT

被引:0
|
作者
Huang, Meigen [1 ]
Gong, Bi [2 ]
Zhou, Xin [1 ]
Wang, Tao [1 ]
Wang, Yanfeng [1 ]
机构
[1] Natl Univ Def Technol, Coll Syst Engn, Changsha, Peoples R China
[2] Natl Univ Def Technol, Teaching Evaluat Ctr, Changsha, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1002/ett.4802
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
With the rapid development of the Internet of Things (IoT) and the popularity of the software-defined idea, the software-defined Internet of Things (SD-IoT) came into being. However, the transmission conflict between control flow and data flow in the perception layer with poor channel resources has become an important constraint for SD-IoT. Thus, this paper adopts the idea of isolated forwarding control flow based on an in-band channel, that is, selecting some sensor nodes to be responsible for forwarding control flow, and proposes high-reliable in-band control network (HIC), a high-reliability in-band control network. In order to support real-time tasks in the IoT environment, HIC adopts a divided control area to support parallel responses of multiple partially overlapping tasks. Further, in each control area, the graph theory is used to model the control node selection problem, and an algorithm for efficiently solving the model is designed based on the community detection method. Finally, we developed the HIC experimental platform composed of HIC-topology and HIC-simulation and carried out simulation experiments and analysis from topology generation, maintenance, and operation. The experimental results show that HIC could better adapt to the SD-IoT under multi-task deployment, and has great advantages in terms of the success rate and time of topology rapid maintenance compared with similar solutions.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] REoN: A Protocol for Reliable Software-Defined FPGA Partial Reconfiguration over Network
    Mishra, Vaibhawa
    Chen, Qianqiao
    Zervas, Georgios
    2016 INTERNATIONAL CONFERENCE ON RECONFIGURABLE COMPUTING AND FPGAS (RECONFIG16), 2016,
  • [32] Beyond the Core: Enabling Software-defined Control at the Network Edge
    Heuschkel, Jens
    Stein, Michael
    Wang, Lin
    Muehlhaeuser, Max
    2017 INTERNATIONAL CONFERENCE ON NETWORKED SYSTEMS (NETSYS), 2017,
  • [33] Cross-Layer Software-Defined 5G Network
    Mao Yang
    Yong Li
    Long Hu
    Bo Li
    Depeng Jin
    Sheng Chen
    Zhongjiang Yan
    Mobile Networks and Applications, 2015, 20 : 400 - 409
  • [34] A Network Control Application enabling Software-Defined Quality of Service
    Adami, Davide
    Donatini, Lisa
    Giordano, Stefano
    Pagano, Michele
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 6074 - 6079
  • [35] A novel industrial control architecture based on Software-Defined Network
    Liang, Geng
    Li, Wen
    MEASUREMENT & CONTROL, 2018, 51 (7-8): : 360 - 367
  • [36] Hierarchical and Distributed Software-Defined Network to Reduce Control Load
    Ueda, Tetsuro
    Idoue, Akira
    Utsunomiya, Eiji
    2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2019,
  • [37] Cross-Layer Software-Defined 5G Network
    Yang, Mao
    Li, Yong
    Hu, Long
    Li, Bo
    Jin, Depeng
    Chen, Sheng
    Yan, Zhongjiang
    MOBILE NETWORKS & APPLICATIONS, 2015, 20 (03): : 400 - 409
  • [38] Programming Network via Distributed Control in Software-Defined Networks
    Zhou, Boyang
    Wu, Chunming
    Hong, Xiaoyan
    Jiang, Ming
    2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2014, : 3051 - 3057
  • [39] Access Control for Software-Defined Heterogeneous Wireless Access Network
    Xu, Fangmin
    Qiu, Chao
    Guo, Andong
    Zhao, Chenglin
    2016 16TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT), 2016, : 520 - 524
  • [40] A Dynamic Recovery Module For In-band Control Channel Failure In Software Defined Networking
    Alowa, Abdunasser
    Fevens, Thomas
    PROCEEDINGS OF THE 2020 6TH IEEE CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2020): BRIDGING THE GAP BETWEEN AI AND NETWORK SOFTWARIZATION, 2020, : 209 - 217