most citedIoT-based Analysis for Smart Energy Management

21 citations · 21 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2023★ 21 cited

IoT-based Analysis for Smart Energy Management

Guang-Li Huang, Adnan Anwar, Seng W. Loke +2

Smart energy management based on the Internet of Things (IoT) aims to achieve optimal energy utilization through real-time energy monitoring and analyses of power consumption patte…

cs.LG2023

Semantics Alignment via Split Learning for Resilient Multi-User Semantic Communication

Jinhyuk Choi, Jihong Park, Seung-Woo Ko +3

Recent studies on semantic communication commonly rely on neural network (NN) based transceivers such as deep joint source and channel coding (DeepJSCC). Unlike traditional transce…

cs.AI2023

Energy-Efficient UAV-Assisted IoT Data Collection via TSP-Based Solution Space Reduction

Sivaram Krishnan, Mahyar Nemati, Seng W. Loke +2

This paper presents a wireless data collection framework that employs an unmanned aerial vehicle (UAV) to efficiently gather data from distributed IoT sensors deployed in a large a…

cs.CV2023

Deakin RF-Sensing: Experiments on Correlated Knowledge Distillation for Monitoring Human Postures with Radios

Shiva Raj Pokhrel, Jonathan Kua, Deol Satish +4

In this work, we propose and develop a simple experimental testbed to study the feasibility of a novel idea by coupling radio frequency (RF) sensing technology with Correlated Know…

cs.NI2022

Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP

Shiva Raj Pokhrel, Jinho Choi, Anwar Walid

The bottleneck of distributed edge learning (DEL) over wireless has shifted from computing to communication, primarily the aggregation-averaging (Agg-Avg) process of DEL. The exist…

cs.IT2022

Efficient User Scheduling for Uplink Hybrid Satellite-Terrestrial Communication

Lina Zhu, Lin Bai, Lin Zhou +1

Due to increasing demands of seamless connection and massive information exchange across the world, the integrated satellite-terrestrial communication systems develop rapidly. To s…

cs.IT2022

Predictive Closed-Loop Remote Control over Wireless Two-Way Split Koopman Autoencoder

Abanoub M. Girgis, Hyowoon Seo, Jihong Park +2

Real-time remote control over wireless is an important-yet-challenging application in 5G and beyond due to its mission-critical nature under limited communication resources. Curren…