CNS Core: Small: Low-Power Wide-Area Networks for Industrial Automation

NSF Award Search · 01002021DB NSF RESEARCH & RELATED ACTIVIT · $500,000 · view on nsf.gov ↗

Abstract

The evolution of Internet of Things (IoT) is transforming the field of industrial automation including process control and smart manufacturing into an important class of Industrial IoT (IIoT). Today, wireless solutions for industrial automation are based on short-range wireless technologies (e.g., WirelessHART, ISA100). To cover a large area with numerous devices, they form multi-hop mesh networks at the expense of energy, cost, and complexity, posing a big challenge to support the scale and wide-area of today’s IIoT. For example, the East Texas oil-field extends over 74x8 square kilometers requiring tens of thousands of sensors for automated management. Also, in process industries, many silos, tanks, and plants are often positioned far from the center, at inconvenient locations in difficult terrain or offshore. Pipelines can be hundreds of miles long and pass through difficult terrains, making it difficult to monitor gas and chemical leaks in real-time. This project proposes to adopt the Low-Power Wide-Area Network (LPWAN) technologies for industrial automation. Due to long-range, LPWANs can be adopted without complex configuration and at a fraction of costs for wide-area IIoT applications, compared to multi-hop solutions. This project will develop theoretical foundations and systems for enabling industrial automation using LPWANs. Its important findings will be shared with the standards bodies and industries. The developed technologies will be made open-source. This pr

Key facts

NSF award ID
2601685
Awardee
University of Texas at Dallas (TX)
SAM.gov UEI
EJCVPNN1WFS5
PI
Abusayeed M Saifullah
Primary program
01002021DB NSF RESEARCH & RELATED ACTIVIT
All programs
SMALL PROJECT
Estimated total
$500,000
Funds obligated
$3,673
Transaction type
Standard Grant
Period
10/01/2025 → 09/30/2026