A self-adaptive trajectory optimization algorithm using fuzzy logic for mobile edge computing system assisted by unmanned aerial vehicle

HIGHLIGHTS

  • who: Brindha Subburaj et al. from the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India have published the article: A Self-Adaptive Trajectory Optimization Algorithm Using Fuzzy Logic for Mobile Edge Computing System Assisted by Unmanned Aerial Vehicle, in the Journal: Drones 2023, 266 of 14/03/2023
  • what: In the present work, the SP is considered as unknown and the authors try to optimize the stop positions and locations in the proposed algorithm. The target vector ud835udc43 - ud835udc43ud835udc42ud835udc43 and the trial vector ud835udc44 - ud835udc43ud835udc42ud835udc43 both are considered of SP.
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