Imperial College London


Faculty of EngineeringDepartment of Civil and Environmental Engineering

Senior Lecturer



+44 (0)20 7594 6035ivan.stoianov Website




Miss Judith Barritt +44 (0)20 7594 5967




408Skempton BuildingSouth Kensington Campus






BibTex format

author = {Stoianov, I and Nachman, L and Madden, S and Tokmouline, T},
doi = {10.1109/IPSN.2007.4379686},
pages = {264--273},
title = {PIPENET: A Wireless Sensor Network for Pipeline Monitoring},
url = {},
year = {2007}

RIS format (EndNote, RefMan)

AB - US water utilities are faced with mounting operational and maintenance costs as a result of aging pipeline infrastructures. Leaks and ruptures in water supply pipelines and blockages and overflow events in sewer collectors cost millions of dollars a year, and monitoring and repairing this underground infrastructure presents a severe challenge. In this paper, we discuss how wireless sensor networks (WSNs) can increase the spatial and temporal resolution of operational data from pipeline infrastructures and thus address the challenge of near real-time monitoring and eventually control. We focus on the use of WSNs for monitoring large diameter bulk-water transmission pipelines. We outline a system, PipeNet, we have been developing for collecting hydraulic and acoustic/vibration data at high sampling rates as well as algorithms for analyzing this data to detect and locate leaks. Challenges include sampling at high data rates, maintaining aggressive duty cycles, and ensuring tightly time- synchronized data collection, all under a strict power budget. We have carried out an extensive field trial with Boston Water and Sewer Commission in order to evaluate some of the critical components of PipeNet. Along with the results of this preliminary trial, we describe the results of extensive laboratory experiments which are used to evaluate our analysis and data processing solutions. Our prototype deployment has led to the development of a reusable, field-reprogrammable software infrastructure for distributed high-rate signal processing in wireless sensor networks, which we also describe.
AU - Stoianov,I
AU - Nachman,L
AU - Madden,S
AU - Tokmouline,T
DO - 10.1109/IPSN.2007.4379686
EP - 273
PY - 2007///
SP - 264
TI - PIPENET: A Wireless Sensor Network for Pipeline Monitoring
UR -
UR -
ER -