International Conference on Computer and Knowledge Engineering

Please wait ...

Home / 13th International Conference on Computer and Knowledge Engineering

Delay Optimization of a Federated Learning-based UAV-aided IoT network

Authors :

Hossein Mohammadi Firouzjaei¹ Javad Zeraatkar Moghaddam² Mehrdad Ardebilipour³

1- Khajeh Nasir Toosi University of Technology 2- University of Birjand 3- Khajeh Nasir Toosi University of Technology

Keywords :

UAV،SWIPT،IoT،FL

Abstract :

This paper explores the integration of power splitting(PS) simultaneous wireless information and power transfer (SWIPT) architecture and federated learning (FL) in Internet of Things (IoT) networks. The use of SWIPT allows power-constrained devices to simultaneously harvest energy and transmit data, addressing the energy limitations faced by IoT devices. The proposed scenario involves an Unmanned Arial Vehicle (UAV) serving as the base station (BS) and edge server, aggregating weight updates from IoT devices and unicasting aggregated updates to each device. The results demonstrate the feasibility of FL in IoT scenarios, ensuring communication efficiency without depleting device batteries.

List of archived papers

Joint ADC-less Analog Demodulator and Decoder for Extended Binary (8, 4, 4) Hamming Channel Code

Mir Mahdi Safari - Jafar Pourrostam - Behzad Mozaffari Tazehkand

ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language

Mohammad Mehdi Jaziriyan - Ahmad Akbari - Hamed Karbasi

PeQa: a Massive Persian Quenstion-Answering and Chatbot Dataset

Fatemeh Zahra Arshia - Mohammad Ali Keyvanrad - Saeedeh Sadat Sadidpour - Sayyid Mohammad Reza Mohammadi

Simulation-Based Data Augmentation for Apple Leaf Disease Using Statistical Moments and HSV Color Features

Seyedeh Maryam Moosavi - Morteza Gholipour - Yasser Baleghi

Enhancing EEG-based BCI Performances by Reducing Covariate Shift via Adaptive Multi-Domain Feature Extraction

Moein Radman - Reza Arghand - Nader Nariman-Zadeh - Ali Chaibakhsh

A Novel Density-Based KNN in Pattern Recognition

Sajad Haghzad Klidbary - Abazar Arabameri

Android Malware Detection using Supervised Deep Graph Representation Learning

Fatemeh Deldar - Mahdi Abadi - Mohammad Ebrahimifard

A large input-space-margin approach for adversarial training

Reihaneh Nikouei - Mohammad Taheri

Multi-Fusion Ensemble CNN for Drug–Target Binding Affinity Prediction Using Transformer-Based Molecular and Protein Representations

Betsabeh Tanoori

PersianILP: Construction and Evaluation of a Standard Persian Dataset for Inductive Link Prediction

Mohammad Rahimi - Afsaneh Fatemi - Ahmad Baraani

more

Samin Hamayesh - Version 44.12.3