Drone transportation system: Systematic review of security dynamics for smart mobility

SO Ajakwe, DS Kim, JM Lee - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The intelligence and integrity of a real-time cyber–physical system depend on how
trustworthy the data's legitimacy, appropriation, and authorization are during end-to-end …

Stochastic computation offloading for LEO satellite edge computing networks: A learning-based approach

Q Tang, Z Fei, B Li, H Yu, Q Cui… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The deployment of mobile edge computing services in LEO satellite networks achieves
seamless coverage of computing services. However, the time-varying wireless channel …

Joint service deployment and task scheduling for satellite edge computing: A two-timescale hierarchical approach

Q Tang, R Xie, Z Fang, T Huang, T Chen… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
In this paper, we establish a two-timescale framework for the joint service deployment and
task scheduling problem in satellite edge computing networks. We aim to optimize the …

Artificial intelligence algorithms in flood prediction: a general overview

M Pandey - Geo-information for Disaster Monitoring and …, 2024 - Springer
This paper presents a comprehensive general overview of the extensive literature available
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …

Satellite-assisted edge computing management based on deep reinforcement learning in industrial internet of things

Y Zhu, D Lu - Computer Networks, 2023 - Elsevier
The insufficient edge computing equipment in remote areas cannot meet explosively
growing computing needs of industrial Internet of things devices, which undoubtedly leads to …

Computation Offloading and Resource Allocation in LEO Satellite-Terrestrial Integrated Networks With System State Delay

B Xie, H Cui, IWH Ho, Y He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Computing offloading optimization for energy saving is becoming increasingly important in
low-Earth orbit (LEO) satellite-terrestrial integrated networks (STINs) since battery …

Collaborative Task Offloading Optimization for Satellite Mobile Edge Computing Using Multi-Agent Deep Reinforcement Learning

H Zhang, H Zhao, R Liu, A Kaushik… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Satellite mobile edge computing (SMEC) achieves efficient processing for space missions
by deploying computing servers on low Earth orbit (LEO) satellites, which supplements a …

RIS-Empowered LEO satellite networks for 6G: promising usage scenarios and future directions

M Toka, B Lee, J Seong, A Kaushik, J Lee… - arXiv preprint arXiv …, 2024 - arxiv.org
Low-Earth orbit (LEO) satellite systems have been deemed a promising key enabler for
current 5G and the forthcoming 6G wireless networks. Such LEO satellite constellations can …

Energy-minimized Partial Computation Offloading in Satellite-terrestrial Edge Computing Networks

J Bi, S Niu, H Yuan, M Wang, J Zhai… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Given the forthcoming emergence of 6G communication models, the integration of terrestrial
and non-terrestrial infrastructures is receiving increasing attention due to its widespread …

Task Offloading with Data-Dependent Constraints in Satellite Edge Computing Networks: A Multi-Objective Approach

R Zhang, Y Feng, Y Yang, X Li - Aerospace, 2023 - mdpi.com
By enabling a satellite network with edge computing capabilities, satellite edge computing
(SEC) provides users with a full range of computing service. In this paper, we construct a …