A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System

A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System

<p dir="ltr">This paper presents a multi-unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, where multiple UAVs (variable number of UAVs) are deployed to serve Internet of Things devices (IoTDs). We aim to minimize the sum of hovering and flying energies of UA...

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Bibliographic Details
Main Author: Muhammad Asim (2235472) (author)
Other Authors: Wali Khan Mashwani (9449980) (author), Samir Brahim Belhaouari (9427347) (author), Saima Hassan (14918003) (author)
Published: 2021
Subjects:
Information and computing sciences
Distributed computing and systems software
Trajectory
Task analysis
Energy consumption
Resource management
Trajectory planning
Genetic algorithms
Processor scheduling
Mobile edge computing
unmanned aerial vehicle
evolutionary algorithm
multi-chrome genetic algorithm
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