Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning

Article Properties
Cite
Nguyen, Dinh C., et al. “Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning”. IEEE Transactions on Network and Service Management, vol. 17, no. 4, 2020, pp. 2536-49, https://doi.org/10.1109/tnsm.2020.3010967.
Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020). Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning. IEEE Transactions on Network and Service Management, 17(4), 2536-2549. https://doi.org/10.1109/tnsm.2020.3010967
Nguyen, Dinh C., Pubudu N. Pathirana, Ming Ding, and Aruna Seneviratne. “Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning”. IEEE Transactions on Network and Service Management 17, no. 4 (2020): 2536-49. https://doi.org/10.1109/tnsm.2020.3010967.
Nguyen DC, Pathirana PN, Ding M, Seneviratne A. Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning. IEEE Transactions on Network and Service Management. 2020;17(4):2536-49.
Citations
Title Journal Journal Categories Citations Publication Date
Deep Reinforcement Learning-Based Mining Task Offloading Scheme for Intelligent Connected Vehicles in UAV-Aided MEC

ACM Transactions on Design Automation of Electronic Systems
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2024
Reinforcement Learning Methods for Computation Offloading: A Systematic Review

ACM Computing Surveys
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
12 2023
Machine Learning-Based Offloading Strategy for Lightweight User Mobile Edge Computing Tasks

Complexity
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Science (General)
  • Science: Mathematics
33 2021
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Machine Learning-Based Offloading Strategy for Lightweight User Mobile Edge Computing Tasks and was published in 2021. The most recent citation comes from a 2024 study titled Deep Reinforcement Learning-Based Mining Task Offloading Scheme for Intelligent Connected Vehicles in UAV-Aided MEC. This article reached its peak citation in 2024, with 1 citations. It has been cited in 3 different journals, 33% of which are open access. Among related journals, the ACM Transactions on Design Automation of Electronic Systems 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