IoT-Fog architectures in smart city applications: A survey

被引:25
作者
Hajam, Shahid Sultan [1 ]
Sofi, Shabir Ahmad [1 ]
机构
[1] Natl Inst Technol, Dept Informat Technol, Srinagar 190006, Jammu & Kashmir, India
关键词
Cloud computing; Edge computing; Computer architecture; Smart cities; Smart grids; Bandwidth; Servers; fog computing; edge computing; mobile edge computing; resource allocation; offloading; software defined networks; smart city; smart grid; MOBILE EDGE; COMPUTING ARCHITECTURE; RESOURCE-ALLOCATION; CLOUD; INTERNET; HEALTH; SECURITY; ENERGY; TECHNOLOGIES; CHALLENGES;
D O I
10.23919/JCC.2021.11.009
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Smart cities improve the quality of life of people by utilizing the benefits of Information and communication technology (ICT) and the Internet of things (IoT). The applications of the smart city often rely on the cloud for services. No doubt cloud provides an ample amount of resources as a service but still it has limitations in terms of unreliable latency, mobility, and location awareness due to their multi-hop distance from the IoT devices. Fog computing avoids these limitations by providing services nearer to the edges. In this work we investigate the already proposed IoT-Fog based application specific smart city architectures and review them based on scalability, heterogeneity, mobility, energy conservation, latency, and security. Additionally, we discuss the applications and highlight the challenges that fog computing faces. We also present a case study of a smart city scenario with multiple applications of IoT.
引用
收藏
页码:117 / 140
页数:24
相关论文
共 129 条
  • [1] Fog Computing: The Cloud-IoT/IoE Middleware Paradigm
    Aazam M.
    Huh E.-N.
    [J]. IEEE Potentials, 2016, 35 (03): : 40 - 44
  • [2] Health Fog for Smart Healthcare
    Aazam, Mohammad
    Zeadally, Sherali
    Harras, Khaled A.
    [J]. IEEE CONSUMER ELECTRONICS MAGAZINE, 2020, 9 (02) : 96 - 102
  • [3] Fog Computing for 5G Tactile Industrial Internet of Things: QoE-Aware Resource Allocation Model
    Aazam, Mohammad
    Harras, Khaled A.
    Zeadally, Sherali
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (05) : 3085 - 3092
  • [4] Fog Computing Architecture, Evaluation, and Future Research Directions
    Aazam, Mohammad
    Zeadally, Sherali
    Harras, Khaled A.
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (05) : 46 - 52
  • [5] Energy efficient offloading strategy in fog-cloud environment for IoT applications
    Adhikari, Mainak
    Gianey, Hemant
    [J]. INTERNET OF THINGS, 2019, 6
  • [6] Agarwal Swati, 2016, International Journal of Information Engineering and Electronic Business, V8, P48, DOI 10.5815/ijieeb.2016.01.06
  • [7] Autonomic computation offloading in mobile edge for IoT applications
    Alam, Md Golam Rabiul
    Hassan, Mohammad Mehedi
    Uddin, Md. Zia
    Almogren, Ahmad
    Fortino, Giancarlo
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 90 : 149 - 157
  • [8] Aliedani A., 2016, 2016 IEEE INT SMART, P1
  • [9] The fog cloud of things: A survey on concepts, architecture, standards, tools, and applications
    Alli, Adam A.
    Alam, Muhammad Mahbub
    [J]. INTERNET OF THINGS, 2020, 9
  • [10] SecOFF-FCIoT: Machine learning based secure offloading in Fog-Cloud of things for smart city applications
    Alli, Adam A.
    Alam, Muhammad Mahbub
    [J]. INTERNET OF THINGS, 2019, 7