A Novel Energy-Efficient and Cost-Effective Task Offloading Approach for UAV-Enabled MEC with LEO Enhancement in Internet of Remote Things Networks-Reference-Cited by-同舟云学术

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A Novel Energy-Efficient and Cost-Effective Task Offloading Approach for UAV-Enabled MEC with LEO Enhancement in Internet of Remote Things Networks

Published:2024-09 Issue: Volume: Page:103018
ISSN:1569-190X
Container-title:Simulation Modelling Practice and Theory
language:en
Short-container-title:Simulation Modelling Practice and Theory

Author:

Rahmani Amir Masoud,Haider Amir,Alsubai Shtwai,Alqahtani Abdullah,Alanazi Abed,Hosseinzadeh Mehdi

Publisher

Elsevier BV

Reference34 articles.

1. Gateway placement in integrated satellite–terrestrial networks: Supporting communications and Internet of Remote Things;Zhou;IEEE Internet of Things Journal,2021

2. A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT;Gharehchopogh;Internet of Things,2023

3. Multi-Satellite Collaborative Signal Acquisition for Internet of Remote Things;Yue;IEEE Internet of Things Journal,2023

4. Study of data transfer in a heterogeneous LoRa-satellite network for the internet of remote things;Lysogor;Sensors,2019

5. Energy efficient method of data transmission in a heterogeneous network of the Internet of things for remote areas;Lysogor,2019

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