EETO-GA: Energy Efficient Trajectory Optimization of UAV-IoT Collaborative System Using Genetic Algorithm

EETO-GA: Energy Efficient Trajectory Optimization of UAV-IoT Collaborative System Using Genetic Algorithm

Unmanned aerial vehicle (UAVs) is capable of adding significant potential to the internet of thing (IoT) devices and hence smart UAV–IoT collaborative system has attracted the attention of many researchers. This system has to be energy efficient for its nature and functionalities. Optimized trajecto...

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Bibliographic Details
Main Authors: M M Hafizur Rahman, Mohammed Al-Naeem, Anuradha Banerjee, Abu Sufian
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
ARMA model
clustered model
delay aware
energy efficient
internet of thing
path planning
Online Access:https://www.mdpi.com/2076-3417/13/4/2535

Internet

https://www.mdpi.com/2076-3417/13/4/2535

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