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Search Publications by: David W. Griffith (Fed)

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Displaying 26 - 50 of 175

Towards Deep Transfer Learning in Industrial Internet of Things

February 26, 2021
Author(s)
Xing Liu, Wei Yu, Fan Liang, David Griffith, Nada T. Golmie
In this paper, we propose a general framework to adopt transfer learning in IIoT systems. Transfer learning is a machine learning technique that fully uses the knowledge from pre- trained models to reduce the computing requirements for the training process

On Deep Reinforcement Learning Security for Industrial Internet of Things

February 15, 2021
Author(s)
Xing Liu, Wei Yu, Fan Liang, David W. Griffith, Nada T. Golmie
Industrial Internet of Things (IIoT), also known as Industry 4.0, empowers manufacturing and production processes by leveraging automation and Internet of Things (IoT) technologies. In IIoT, the information communication technologies enabled by IoT could

Towards Computing Resource Reservation Scheduling in Industrial Internet of Things

December 11, 2020
Author(s)
Fan Liang, Wei Yu, Xing Liu, David W. Griffith, Nada T. Golmie
The Industrial Internet of Things (IIoT) is a critically important implementation of the Internet of Things (IoT), connecting IoT devices ubiquitously in an industrial environment. Based on the interconnection of IoT devices, IIoT applications can collect

On Data Integrity Attacks against Industrial Internet of Things

August 24, 2020
Author(s)
Hansong Xu, Wei Yu, Xing Liu, David W. Griffith, Nada T. Golmie
Industrial Internet of Things (IIoT) is predicted to drive the fourth industrial revolution through massive interconnection of industrial devices, such as sensors, controllers and actuators, integrating advances in smart machinery and data analytics driven

UE-to-Network Relay Discovery in ProSe-enabled LTE Networks

March 30, 2020
Author(s)
Samantha M. Gamboa Quintiliani, Alexandre C. Moreaux, David W. Griffith, Richard A. Rouil
The UE-to-Network Relay functionality was introduced to Long Term Evolution (LTE) cellular networks in Release 13. In this technology, User Equipment (UEs) acting as Relay UEs are used to extend network coverage to cell-edge and out-of-coverage Remote UEs

On Selecting Channel Parameters for Public Safety Network Applications in LTE Direct

March 26, 2020
Author(s)
Siyuan Feng, Hyong-Ah Choi, David W. Griffith, Richard A. Rouil
The Third Generation Partnership Project (3GPP) defines various pre-configured channel parameters for the Long- Term Evolution (LTE) Device-to-Device (D2D) communications with Physical Sidelink (SL) Channels. In this paper, we investigate the impacts of

On Upper Bounds for D2D Group Size

February 27, 2020
Author(s)
David W. Griffith, Aziza Ben Mosbah
In this paper, we examine the Physical Sidelink Discovery Channel (PSDCH) for out-of-coverage (OOC) Device-to-Device (D2D) Long Term Evolution (LTE) networks using direct discovery for User Equipments (UEs) that are half-duplex. We derive upper bounds for

Towards Edge-Based Deep Learning in Industrial Internet of Things

January 1, 2020
Author(s)
Fan Liang, Wei Yu, Xing Lu, David W. Griffith, Nada T. Golmie
As a typical application of the Internet of Things (IoT), the Industrial Internet of Things (I- IoT) connects all the related IoT sensing and actuating devices ubiquitously so that the monitoring and control of numerous industrial systems can be realized

A Deep Learning-Based Weather Forecast System for Data Volume and Recency Analysis

February 18, 2019
Author(s)
Jarrett Booz, Wei Yu, Guobin Xu, David W. Griffith, Nada T. Golmie
Accurate weather forecast is important to our daily life. Through physical atmospheric models, the weather can be accurately forecasted in a short period time. To provide weather forecast, machines learning techniques can be used for understanding and

Performance Assessment of Smart Meter Traffic over LTE Network Using SDR Testbed

February 18, 2019
Author(s)
Amirshahram Hematian, Wei Yu, David W. Griffith, Nada T. Golmie
In the smart grid, a variety of smart meters will be deployed to support diverse services, such as energy distribution management, grid monitoring and management, and the integration of renewable energy resources. On the power distribution side, regular

A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective

December 4, 2018
Author(s)
Hansong Xu, Wei Yu, David W. Griffith, Nada T. Golmie
The vision of Industry 4.0, otherwise known as the fourth industrial revolution, is the integration of massively deployed smart computing and network technologies in industrial production and manufacturing settings for the express purposes of automation

PSCR 2017 Stakeholder Conference Presentation Materials -- Day 3

October 16, 2018
Author(s)
Dereck R. Orr, Richard A. Rouil, Jeremy E. Benson, David W. Griffith, Fidel Liberal, Robert Escalle, Sonim Technologies, Richard Lau, Vencore Labs, Paul Sutton, Software Radio Systems LTD, Sumit Roy, Sean Sangodoyin, David A. Howe, Fabio C. Da Silva, Alicia Evangelista, Yet2, Brienne Engel, Yet2, John S. Garofolo
This document is a compilation of the slides presented during Day 3 of the 2017 Public Safety Communications Research Program's (PSCR) Annual Stakeholder Conference. Day 3 topics include PSCR research plans and results for Mission Critical Voice, Indoor

A 3D Topology Optimization Scheme for M2M Communications

June 29, 2018
Author(s)
Yalong Wu, Wei Yu, Jin Zhang, David W. Griffith, Nada T. Golmie
Without efficient topology management, M2M communications will likely asymmetrically congest gateways and eNodeBs in 3rd Generation Partnership Project (3GPP) Long-Term Evolution (LTE) and Long-Term Evolution Advanced (LTE-A) networks, especially when M2M
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