Multi-Objective Optimization for Resource Allocation in Space–Air–Ground Network with Diverse IoT Devices
As the Internet of Things (IoT) expands globally, the challenge of signal transmission in remote regions without traditional communication infrastructure becomes prominent. An effective solution involves integrating aerial, terrestrial, and space components to form a Space–Air–Ground Integrated Netw...
Saved in:
Main Authors: | Yongnan Xu, Xiangrong Tang, Linyu Huang, Hamid Ullah, Qian Ning |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/1/274 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning
by: Vitou That, et al.
Published: (2025-01-01) -
Research on IoT device identification based on blockchain
by: Meijuan CHEN, et al.
Published: (2018-06-01) -
Mathematical modelling-based blockchain with attention deep learning model for cybersecurity in IoT-consumer electronics
by: Hayam Alamro, et al.
Published: (2025-02-01) -
Near-Optimal Efficient MIMO Receiver for Miniature UAV-IoT Communications
by: Anas Saci, et al.
Published: (2024-01-01) -
Research on distributed identity authentication mechanism of IoT device based on blockchain
by: Chen TAN, et al.
Published: (2020-06-01)