TY - JOUR
T1 - Data-driven pollution source location algorithm in water quality monitoring sensor networks
AU - Yan, Xuesong
AU - Hu, Chengyu
AU - Sheng, Victor S.
N1 - Publisher Copyright:
© 2020 Inderscience Enterprises Ltd.
PY - 2020
Y1 - 2020
N2 - Water pollution prevention has been a widely concerned issue for the safety of human lives. To this end, water quality monitoring sensors are introduced in the water distribution systems. Due to the limited budget, it is impossible to deploy sensors everywhere but a small number of sensors are deployed. From the sparse sensor data, it is important, but also challenging, to find out the pollution source location. Traditional methods may suffer from local optimum trapping or low localisation accuracy. To address such problems, we propose a cooperative intelligent optimisation algorithm-based pollution source location algorithm, which is a data-driven approach in simulation-optimisation paradigm. Through open-source EPANET simulator-based experiments, we find out our proposed data-driven algorithm can effectively and efficiently localise the pollution location, as well as the pollution injection starting time, duration and mass.
AB - Water pollution prevention has been a widely concerned issue for the safety of human lives. To this end, water quality monitoring sensors are introduced in the water distribution systems. Due to the limited budget, it is impossible to deploy sensors everywhere but a small number of sensors are deployed. From the sparse sensor data, it is important, but also challenging, to find out the pollution source location. Traditional methods may suffer from local optimum trapping or low localisation accuracy. To address such problems, we propose a cooperative intelligent optimisation algorithm-based pollution source location algorithm, which is a data-driven approach in simulation-optimisation paradigm. Through open-source EPANET simulator-based experiments, we find out our proposed data-driven algorithm can effectively and efficiently localise the pollution location, as well as the pollution injection starting time, duration and mass.
KW - Cooperative optimisation algorithm
KW - Pollution source location
KW - Sensor networks
KW - Simulation optimisation
UR - http://www.scopus.com/inward/record.url?scp=85086021371&partnerID=8YFLogxK
U2 - 10.1504/IJBIC.2020.107474
DO - 10.1504/IJBIC.2020.107474
M3 - Article
AN - SCOPUS:85086021371
SN - 1758-0366
VL - 15
SP - 171
EP - 180
JO - International Journal of Bio-Inspired Computation
JF - International Journal of Bio-Inspired Computation
IS - 3
ER -