activity
20182023
most citedA Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges and Opportunities

49 citations · 97 across the 5 of their papers we have counts for

collaborators

7 papers

eess.SY2023★ 49 cited

A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges and Opportunities

Chiu Chun Chan, Sheeraz A. Alvi, Xiangyun Zhou +3

The threat posed by wildfires or bushfires has become a severe global issue due to the increase in human activities in forested areas and the impact of climate change. Consequently…

eess.SP2023

UAV-assisted IoT Monitoring Network: Adaptive Multiuser Access for Low-Latency and High-Reliability Under Bursty Traffic

Nilupuli Senadhira, Salman Durrani, Sheeraz A. Alvi +2

In this work, we propose an adaptive system design for an Internet of Things (IoT) monitoring network with latency and reliability requirements, where IoT devices generate time-cri…

cs.LG2022

Federated Learning Cost Disparity for IoT Devices

Sheeraz A. Alvi, Yi Hong, Salman Durrani

Federated learning (FL) promotes predictive model training at the Internet of things (IoT) devices by evading data collection cost in terms of energy, time, and privacy. We model t…

eess.SP2021★ 47 cited

Spectrum Allocation with Adaptive Sub-band Bandwidth for Terahertz Communication Systems

Akram Shafie, Nan Yang, Sheeraz Alvi +3

We study spectrum allocation for terahertz (THz) band communication (THzCom) systems, while considering the frequency and distance-dependent nature of THz channels. Different from…

cs.LG2021★ 1 cited

Utility Fairness for the Differentially Private Federated Learning

Sheeraz A. Alvi, Yi Hong, Salman Durrani

Federated learning (FL) allows predictive model training on the sensed data in a wireless Internet of things (IoT) network evading data collection cost in terms of energy, time, an…

cs.IT2019

Sequencing and Scheduling for Multi-User Machine-Type Communication

Sheeraz A. Alvi, Xiangyun Zhou, Salman Durrani +1

In this paper, we propose joint sequencing and scheduling optimization for uplink machine-type communication (MTC). We consider multiple energy-constrained MTC devices that transmi…

cs.IT2018

Optimal Compression and Transmission Rate Control for Node-Lifetime Maximization

Sheeraz A. Alvi, Xiangyun Zhou, Salman Durrani

We consider a system that is composed of an energy constrained sensor node and a sink node, and devise optimal data compression and transmission policies with an objective to prolo…