Integration of multi access edge computing with unmanned aerial vehicles: Current techniques, open issues and research directions
During the last decade, research and development in the field of multi access edge
computing (MEC) has rapidly risen to prominence. One of the factors propelling MEC's …
computing (MEC) has rapidly risen to prominence. One of the factors propelling MEC's …
Collaborative computation offloading and resource allocation in multi-UAV-assisted IoT networks: A deep reinforcement learning approach
AM Seid, GO Boateng, S Anokye… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
Freerider: Backscatter communication using commodity radios
We introduce the design and implementation of FreeRider, the first system that enables
backscatter communication with multiple commodity radios, such as 802.11 g/n WiFi …
backscatter communication with multiple commodity radios, such as 802.11 g/n WiFi …
A comprehensive empirical study of heterogeneity in federated learning
AM Abdelmoniem, CY Ho… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Federated learning (FL) is becoming a popular paradigm for collaborative learning over
distributed, private data sets owned by nontrusting entities. FL has seen successful …
distributed, private data sets owned by nontrusting entities. FL has seen successful …
Electrical-distance driven peer-to-peer energy trading in a low-voltage network
Given the increasing penetration of distributed energy resources (DER) in low-voltage
networks, peer-to-peer (P2P) energy trading has been proposed to facilitate DER integration …
networks, peer-to-peer (P2P) energy trading has been proposed to facilitate DER integration …
On the fairness of PV curtailment schemes in residential distribution networks
MZ Liu, AT Procopiou, K Petrou… - … on Smart Grid, 2020 - ieeexplore.ieee.org
Active power curtailment of residential PV systems is an effective way to mitigate technical
issues in distribution networks. However, existing curtailment schemes can treat households …
issues in distribution networks. However, existing curtailment schemes can treat households …
Decentralized control strategy to improve fairness in active power curtailment of PV inverters in low-voltage distribution networks
YZ Gerdroodbari, R Razzaghi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The conventional volt-watt control method used in PV inverters to overcome the over-voltage
problems can result in significant unfairness in the curtailed active power in PV-rich …
problems can result in significant unfairness in the curtailed active power in PV-rich …
Resource allocation for spectrum underlay in cognitive radio networks
A resource allocation framework is presented for spectrum underlay in cognitive wireless
networks. We consider both interference constraints for primary users and quality of service …
networks. We consider both interference constraints for primary users and quality of service …
Fairness-based 3-D multi-UAV trajectory optimization in multi-UAV-assisted MEC system
Unmanned aerial vehicles (UAVs)-assisted mobile-edge computing (MEC) communication
system has recently gained increasing attention. In this article, we investigate a 3-D multi …
system has recently gained increasing attention. In this article, we investigate a 3-D multi …
Towards mitigating device heterogeneity in federated learning via adaptive model quantization
AM Abdelmoniem, M Canini - Proceedings of the 1st Workshop on …, 2021 - dl.acm.org
Federated learning (FL) is increasingly becoming the norm for training models over
distributed and private datasets. Major service providers rely on FL to improve services such …
distributed and private datasets. Major service providers rely on FL to improve services such …