Underground Sensor Network for Water Pipe Leakage Detection
March 7, 2019

March 14, 2019, “Underground Sensor Network for Water Pipe Leakage Detection”, AT&T Labs, 6-8pm
The IEEE …..
… Joint Communications and Signal Processing (COMSOC/SP) – Austin,
… Joint Engineering, Medicine, and Biology Society and Computer Society – Austin
… Joint Antennas and Propagation and Microwave Theory and Techniques (APP/MTT),
… Instrumentation and Measurement (I&M)

would like to invite you to a special event
Topic: “Underground Sensor Network for Water Pipe Leakage Detection”

Location: AT&T Labs, Arboretum, Austin
Date: March 14, 2019
Time: 6-8 pm
Presenter: Semih Aslan, PhD
Assoc. prof. & Lab Director, Texas State University

PLEASE RSVP – (is required to access the AT&T Building)

The availability of clean drinking water is one of the challenges that needs to be addressed today and will be a continuing challenge over the next few decades. The State of California declared a state of emergency when there was a water shortage due to drought in recent years. Many emergency responses were implemented to address this crisis such as water usage restrictions, fog catching, wastewater recycling, atmospheric water generation, and groundwater drilling. One of the biggest problems that contributes to the waste of water happens underground when water is distributed from a distribution center to users. California loses up to 228 billion gallons of water annually due to pipe-related losses. This amount of water is more than enough to provide water to Los Angeles for one year. There are two underground water leakages such as Pipe Burst and Pipe Leakage.

Pipe leakage problem is one of the most difficult to identify and repair due to identifying and locating the leak. Similar to pipe burst, a pipe leakage can be caused by pipe aging, improper pipe connections, and tree roots. This type of water loss is most difficult to identify due to the size and location of the leak. This work focuses on a sensor network that can detect, locate and report a leak effectively. Wireless Sensor Networks (WSNs) consist of wireless devices that are either installed above the ground or buried under dense soil or placed in any underground spaces. WSNs have an immense future to impact on diverse applications including leak detection in water, oil and gas pipelines. Any leak in the pipe can trigger significant financial losses and possible environmental damages. A laboratory-based test bench system has been designed and developed to collect real-world datasets from sensors using a wireless sensor network.
Dr. Semih Aslan received a B.Sc. degree in electrical engineering from Istanbul Technical University in 1994, M.Sc. degree in electrical engineering from Illinois Institute of Technology in 2003, and Ph.D. degree in computer engineering from Illinois Institute of Technology in 2010. He has worked as a Senior FPGA Design Engineer with the Motorola LTE Division and as a post-doctoral researcher at Illinois Institute of Technology. He joined the Ingram School of Engineering at Texas State University in 2011, where he is currently an Associate Professor. Dr. Aslan is the founding director of the System Modeling and Renewable Technology (SMART) Lab. He currently advises graduate students on green energy, system design and data analysis projects and has numerous publications. He is a Senior IEEE member.

Free F&B
For any details, please email F.Behmann@IEEE.org