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 50 条
  • [21] Security Embedded Offloading Requirements for IoT-Fog Paradigm
    Jamil, Syed Usman
    Khan, M. Arif
    Ali, Mumtaz
    PROCEEDINGS OF 2019 IEEE MICROWAVE THEORY AND TECHNIQUES IN WIRELESS COMMUNICATIONS (MTTW'19), 2019, : 47 - 51
  • [22] A scalable IoT-fog framework for urban sound sensing
    Baucas, Marc Jayson
    Spachos, Petros
    COMPUTER COMMUNICATIONS, 2020, 153 (302-310) : 302 - 310
  • [23] Presenting a model in smart electronic health networks based on IoT-Fog for health care to optimize resources
    Kang, Yingyun
    ELECTRICAL ENGINEERING, 2025, 107 (01) : 1125 - 1140
  • [24] Fog Based Architectures for IoT: Survey on Motivations, Challenges and Solution Perspectives
    Pandeeswari, S. Thiruchadai
    Padmavathi, S.
    CYBER-PHYSICAL SYSTEMS AND DIGITAL TWINS, 2020, 80 : 298 - 305
  • [25] IoT Paradigm into the Smart City Vision: A Survey
    Medina, Camilo A.
    Perez, Manuel R.
    Trujillo, Luis C.
    2017 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA), 2017, : 695 - 704
  • [26] IoT Platform for Smart City: A Global Survey
    Roshan, Rakesh
    Sharma, Anukrati
    Rishi, O. P.
    EMERGING TRENDS IN EXPERT APPLICATIONS AND SECURITY, 2019, 841 : 197 - 202
  • [27] Machine learning applications for fog computing in IoT: a survey
    Mousavi, Mitra
    Rezazadeh, Javad
    Sianaki, Omid Ameri
    INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES, 2021, 17 (04) : 293 - 320
  • [28] IoT-Fog Enabled Framework for Forest Fire Management System
    Srividhya, S.
    Sankaranarayanan, Suresh
    PROCEEDINGS OF THE 2020 FOURTH WORLD CONFERENCE ON SMART TRENDS IN SYSTEMS, SECURITY AND SUSTAINABILITY (WORLDS4 2020), 2020, : 273 - 276
  • [29] A Secure IoT-Fog Enabled Smart Decision Making system using Machine Learning for Intensive Care unit
    Banerjee, Anwesha
    Mohanta, Bhabendu Kumar
    Panda, Soumyashree S.
    Jena, Debasish
    Sobhanayak, Srichandan
    2020 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP), 2020,
  • [30] SIMAD: Secure intelligent method for IoT-Fog environments attacks detection
    Daoud, Wided Ben
    Mahfoudhi, Sami
    Computers, Materials and Continua, 2022, 70 (02): : 2727 - 2742