Routing in Fog-Enabled IoT Platforms: A Survey and an SDN-Based Solution

被引:49
|
作者
Okay, Feyza Yildirim [1 ]
Ozdemir, Suat [1 ]
机构
[1] Gazi Univ, Comp Engn Dept, TR-06500 Ankara, Turkey
来源
IEEE INTERNET OF THINGS JOURNAL | 2018年 / 5卷 / 06期
关键词
Fog computing; Internet of Things (IoT); routing; software defined networking (SDN); SOFTWARE-DEFINED NETWORKING; WIRELESS NETWORKS; FUTURE; DELAY; MODEL; GAME;
D O I
10.1109/JIOT.2018.2882781
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fog computing is a promising technology that helps overcome to the difficulties of handling a huge amount of Internet of Things (IoT) data by distributing its applications and services closer to the network edge. In fog computing, distributed fog servers' proximity to the end devices enables upcoming and outgoing data to be forwarded efficiently. However, as the size of fog-enabled IoT platforms increases, efficient routing mechanisms are required in fog computing to forward the ubiquitous IoT data to related servers with low latency, low bandwidth, and/or high security. Therefore, software defined networking (SDN) can be employed to optimize the routing process in fog-enabled IoT platforms. In this paper, we first identify the routing requirements of fog computing. Then, we present an extensive survey of routing in fog-enabled IoT platforms. Lastly, we propose a hierarchical SDN-based fog computing architecture for routing in fog-enabled IoT platforms where fog controllers take actions locally for frequent events while the cloud controller takes actions globally for rare events. The proposed framework is evaluated by varying the number of controllers. The initial results show that the proposed hierarchical SDN-based framework has the potential to reduce routing delay and data transmission overhead. Also, throughput is increased as the number of controllers increases.
引用
收藏
页码:4871 / 4889
页数:19
相关论文
共 50 条
  • [31] A Reference Model and Prototype Implementation for SDN-Based Multi Layer Routing in Fog Environments
    Bellavista, Paolo
    Giannelli, Carlo
    Montenero, Dmitrij David Padalino
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2020, 17 (03): : 1460 - 1473
  • [32] A new clustering-based optimised energy approach for fog-enabled IoT networks
    Essalhi, Salah Eddine
    Raiss El Fenni, Mohammed
    Chafnaji, Houda
    IET NETWORKS, 2023, 12 (04) : 155 - 166
  • [33] SPF: An SDN-based Middleware Solution to Mitigate the IoT Information Explosion
    Tortonesi, Mauro
    Michaelis, James
    Morelli, Alessandro
    Suri, Niranjan
    Baker, Michael A.
    2016 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATION (ISCC), 2016, : 435 - 442
  • [34] IoT survey: An SDN and fog computing perspective
    Salman, Ola
    Elhajj, Imad
    Chehab, Ali
    Kayssi, Ayman
    COMPUTER NETWORKS, 2018, 143 : 221 - 246
  • [35] Towards SDN-based smart contract solution for IoT access control
    Khalid, Mizna
    Hameed, Sufian
    Qadir, Abdul
    Shah, Syed Attique
    Draheim, Dirk
    COMPUTER COMMUNICATIONS, 2023, 198 : 1 - 31
  • [36] JOTE: Joint Offloading of Task and Energy in Fog-Enabled IoT Networks
    Cai, Penghao
    Yang, Fuqian
    Zhao, Yao
    Qian, Hua
    Luo, Xiliang
    2019 IEEE 90TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-FALL), 2019,
  • [37] Efficient privacy-preserving data replication in fog-enabled IoT
    Sarwar, Kinza
    Yongchareon, Sira
    Yu, Jian
    Rehman, Saeed Ur
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, 128 : 538 - 551
  • [38] Analytical framework to compare handover mechanisms for fog-enabled IoT networks
    Sathish, Sanjay
    Ghosh, Shankar K.
    Ghosh, Sasthi C.
    2023 IEEE FUTURE NETWORKS WORLD FORUM, FNWF, 2024,
  • [39] Efficient and privacy preserving access control scheme for fog-enabled IoT
    Fan, Kai
    Xu, Huiyue
    Gao, Longxiang
    Li, Hui
    Yang, Yintang
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 99 : 134 - 142
  • [40] JOTE: Joint Offloading of Tasks and Energy in Fog-Enabled IoT Networks
    Cai, Penghao
    Yang, Fuqian
    Wang, Jianjia
    Wu, Xing
    Yang, Yang
    Luo, Xiliang
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (04): : 3067 - 3082