Hierarchical Aerial Computing for Internet of Things via Cooperation of HAPs and UAVs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3151639
Abstract: With the explosive increment of computation requirements, the multiaccess edge computing (MEC) paradigm appears as an effective mechanism. Besides, as for the Internet of Things (IoT) in disasters or remote areas requiring MEC services, unmanned… read more here.
Keywords: haps uavs; aerial computing; internet things; iot ... See more keywords
A Deep-Learning-Based Traffic Classification Method for 5G Aerial Computing Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3531231
Abstract: With the rapid progress made in aerial computing technology and the increased popularity of fifth-generation (5G) networks, uncrewed aerial vehicles (UAVs) have been playing a crucial role in real-time data collection, processing, and transmission. However,… read more here.
Keywords: classification; deep learning; aerial computing; learning based ... See more keywords
Software-Defined-Network-Based Energy-Efficient Multipath Flow Control for Aerial Computing
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DOI: 10.1109/jiot.2025.3567040
Abstract: Software-defined networking (SDN) centralizes and abstracts network control, potentially introducing single points of failure. To enhance scalability and flexibility, a distributed SDN (DSDN) approach is essential. This research introduces MLB-DSDN, an energy-efficient multipath load-balancing protocol… read more here.
Keywords: aerial computing; mlb dsdn; control; energy efficient ... See more keywords