A comprehensive survey on data aggregation techniques in UAV-enabled Internet of things

被引:3
|
作者
Raivi, Asif Mahmud [1 ]
Moh, Sangman [1 ]
机构
[1] Chosun Univ, Dept Comp Engn, Gwangju 61452, South Korea
基金
新加坡国家研究基金会;
关键词
Aerial data aggregator; Data aggregation; Data gathering; Internet of things; Mobile edge computing; Unmanned aerial vehicle; SENSOR DATA AGGREGATION; PERFORMANCE ANALYSIS; OBSTACLE AVOIDANCE; IOT NETWORKS; ENERGY; COMMUNICATION; CHALLENGES; DESIGN; MINIMIZATION; COMPUTATION;
D O I
10.1016/j.cosrev.2023.100599
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, unmanned aerial vehicles (UAVs) have been used to extend the Internet of things (IoT) frame-work owing to their vast applications, monitoring and surveillance capability, ubiquity, and mobility. To support IoT requirements, UAVs must be capable of aggregating, processing, and transmitting data in real-time basis. As not only the number of IoT devices but also the amount of data to be collected is increased, data aggregation is of great importance. Recently, the UAV can also function as a mobile edge computing server in association with aerial data aggregation. This paper is the first to survey the various aspects and techniques of UAV-based aerial data aggregation for IoT networks. After addressing key design issues, we review the existing data aggregation techniques along with possible future direction. They are then compared with each other in terms of major operational features, performance characteristics, advantages, and limitations. Open issues and research chal-lenges are also discussed with possible solution approaches.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Leveraging Augmented Intelligence of Things to Enhance Lifetime of UAV-Enabled Aerial Networks
    Mishra, Rahul
    Gupta, Hari Prabhat
    Kumar, Ramakant
    Dutta, Tanima
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (01) : 586 - 593
  • [32] Data Collection Maximization for UAV-Enabled Wireless Sensor Networks
    Chen, Mengyu
    Liang, Weifa
    Li, Yuchen
    [J]. 2020 29TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN 2020), 2020,
  • [33] UAV-Enabled Ultra-Reliable Low-Latency Communications for 6G: A Comprehensive Survey
    Masaracchia, Antonino
    Li, Yijiu
    Khoi Khac Nguyen
    Yin, Cheng
    Khosravirad, Saeed R.
    Da Costa, Daniel Benevides
    Duong, Trung Q.
    [J]. IEEE ACCESS, 2021, 9 : 137338 - 137352
  • [34] Multimedia Internet of Things: A Comprehensive Survey
    Nauman, Ali
    Qadri, Yazdan Ahmad
    Amjad, Muhammad
    Bin Zikria, Yousaf
    Afzal, Muhammad Khalil
    Kim, Sung Won
    [J]. IEEE ACCESS, 2020, 8 : 8202 - 8250
  • [35] A comprehensive layered approach for implementing internet of things-enabled smart grid:A survey
    Zahra Alavikia
    Maryam Shabro
    [J]. Digital Communications and Networks., 2022, 8 (03) - 410
  • [36] A comprehensive layered approach for implementing internet of things-enabled smart grid: A survey
    Alavikia, Zahra
    Shabro, Maryam
    [J]. DIGITAL COMMUNICATIONS AND NETWORKS, 2022, 8 (03) : 388 - 410
  • [37] Triboelectric nanogenerators enabled internet of things: A survey
    Li, Jiarong
    Wu, Changsheng
    Dharmasena, Ishara
    Ni, Xiaoyue
    Wang, Zihan
    Shen, Haixu
    Huang, Shao-Lun
    Ding, Wenbo
    [J]. Intelligent and Converged Networks, 2020, 1 (02): : 115 - 141
  • [38] FedBeam: Reliable Incentive Mechanisms for Federated Learning in UAV-Enabled Internet of Vehicles
    Hu, Gangqiang
    Zhu, Donglin
    Shen, Jiaying
    Hu, Jialing
    Han, Jianmin
    Li, Taiyong
    [J]. Drones, 2024, 8 (10)
  • [39] Comprehensive survey on data dissemination protocols for efficient reprogramming in Internet of Things
    Shanmugapriya, Rathinam
    Santhosh Kumar, Sripathi Venkata Naga
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (26):
  • [40] Internet of Things-Enabled Optimal Data Aggregation Approach for the Intelligent Surveillance Systems
    Rahmani, Mohammad Khalid Imam
    Khan, Fazlullah
    Muzaffar, Abdul Wahab
    Jan, Mian Ahmad
    [J]. MOBILE INFORMATION SYSTEMS, 2022, 2022