Smart Zero-Touch Management of UAV-Based Edge Network

Article Properties
Cite
Grasso, Christian, et al. “Smart Zero-Touch Management of UAV-Based Edge Network”. IEEE Transactions on Network and Service Management, vol. 19, no. 4, 2022, pp. 4350-68, https://doi.org/10.1109/tnsm.2022.3160858.
Grasso, C., Raftopoulos, R., & Schembra, G. (2022). Smart Zero-Touch Management of UAV-Based Edge Network. IEEE Transactions on Network and Service Management, 19(4), 4350-4368. https://doi.org/10.1109/tnsm.2022.3160858
Grasso, Christian, Raoul Raftopoulos, and Giovanni Schembra. “Smart Zero-Touch Management of UAV-Based Edge Network”. IEEE Transactions on Network and Service Management 19, no. 4 (2022): 4350-68. https://doi.org/10.1109/tnsm.2022.3160858.
1.
Grasso C, Raftopoulos R, Schembra G. Smart Zero-Touch Management of UAV-Based Edge Network. IEEE Transactions on Network and Service Management. 2022;19(4):4350-68.
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Citations
Title Journal Journal Categories Citations Publication Date
Multi-Rotor UAVs in Crowd Management Systems: Opportunities and Challenges IEEE Internet of Things Magazine 2023
Neuro-Symbolic Explainable Artificial Intelligence Twin for Zero-Touch IoE in Wireless Network IEEE Internet of Things Journal 2023
AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era IEEE Network
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Multi-Rotor UAVs in Crowd Management Systems: Opportunities and Challenges and was published in 2023. The most recent citation comes from a 2023 study titled Multi-Rotor UAVs in Crowd Management Systems: Opportunities and Challenges. This article reached its peak citation in 2023, with 3 citations. It has been cited in 3 different journals. Among related journals, the IEEE Internet of Things Magazine cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year