A Survey on Mobility of Edge Computing Networks in IoT: State-of-the-Art, Architectures, and Challenges

被引:45
作者
Abkenar, Forough Shirin [1 ]
Ramezani, Parisa [1 ]
Iranmanesh, Saeid [2 ]
Murali, Sarumathi [1 ]
Chulerttiyawong, Donpiti [1 ]
Wan, Xinyu [1 ]
Jamalipour, Abbas [1 ]
Raad, Raad [2 ]
机构
[1] Univ Sydney, Sch Elect & Informat Engn, WiNG Lab, Sydney, NSW 2006, Australia
[2] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia
来源
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS | 2022年 / 24卷 / 04期
关键词
Mobile edge computing nodes; aerial nodes; ground vehicular nodes; spatial nodes; maritime vessels; architectures; challenges; applications; VEHICULAR FOG; RESOURCE-ALLOCATION; DATA-COLLECTION; ENERGY; INTERNET; OPTIMIZATION; EFFICIENT; COMPUTATION; COMMUNICATION; INTELLIGENCE;
D O I
10.1109/COMST.2022.3211462
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
computing leverages computing resources closer to the end-users at the edge of the network, rather than distant cloud servers in the centralized IoT architecture. Edge computing nodes (ECNs), experience less transmission latency and usually save on energy while network overheads are mitigated. The ECNs can be fixed or mobile in their positions. We will focus on mobile ECNs in this survey. This paper presents a comprehensive survey on mobile ECNs and identifies some open research questions. In particular, mobile ECNs are classified into four categories, namely aerial, ground vehicular, spatial, and maritime nodes. For each specific group, any mutual basic terms used in the state-of-the-art are described, different types of nodes employed in the group are reviewed, the general network architecture is introduced, the existing methods and algorithms are studied, and the challenges that the group is scrimmaging against are explored. Moreover, the integrated architectures are surveyed, wherein two different categories of the aforementioned nodes jointly play the role of ECNs in the network. Finally, the research gaps, that are yet to be filled in the area of mobile ECNs, are discussed along with directions for future research and investigation in this promising area.
引用
收藏
页码:2329 / 2365
页数:37
相关论文
共 170 条
  • [1] Unmanned Aerial Vehicle Based Wireless Sensor Network for Marine-Coastal Environment Monitoring
    A. Trasvina-Moreno, Carlos
    Blasco, Ruben
    Marco, Alvaro
    Casas, Roberto
    Trasvina-Castro, Armando
    [J]. SENSORS, 2017, 17 (03)
  • [2] A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond
    AbdulRahman, Sawsan
    Tout, Hanine
    Ould-Slimane, Hakima
    Mourad, Azzam
    Talhi, Chamseddine
    Guizani, Mohsen
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (07): : 5476 - 5497
  • [3] Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
    Al-Fuqaha, Ala
    Guizani, Mohsen
    Mohammadi, Mehdi
    Aledhari, Mohammed
    Ayyash, Moussa
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (04): : 2347 - 2376
  • [4] Optimal LAP Altitude for Maximum Coverage
    Al-Hourani, Akram
    Kandeepan, Sithamparanathan
    Lardner, Simon
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2014, 3 (06) : 569 - 572
  • [5] Data Dissemination in IoT Using a Cognitive UAV
    Almasoud, Abdullah M.
    Kamal, Ahmed E.
    [J]. IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2019, 5 (04) : 849 - 862
  • [6] Federated Learning Over Wireless Fading Channels
    Amiri, Mohammad Mohammadi
    Gunduz, Deniz
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (05) : 3546 - 3557
  • [7] Deployment of IoV for Smart Cities: Applications, Architecture, and Challenges
    Ang, Li-Minn
    Seng, Kah Phooi
    Ijemaru, Gerald K.
    Zungeru, Adamu Murtala
    [J]. IEEE ACCESS, 2019, 7 : 6473 - 6492
  • [8] PRECODING IN MULTIBEAM SATELLITE COMM UNICATIONS: PRESENT AND FUTURE CHALLENGES
    Angel Vazquez, Miguel
    Perez-Neira, Ana
    Christopoulos, Dimitrios
    Chatzinotas, Symeon
    Ottersten, Bjorn
    Arapoglou, Pantelis-Daniel
    Ginesi, Alberto
    Taricco, Giorgio
    [J]. IEEE WIRELESS COMMUNICATIONS, 2016, 23 (06) : 88 - 95
  • [9] Australian Government-Australian Maritime Safety Authority, AUT ID SYST
  • [10] How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions
    Baktir, Ahmet Cihat
    Ozgovde, Atay
    Ersoy, Cem
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2017, 19 (04): : 2359 - 2391