Real Time River Water & Air Quality Monitoring - Iusstf
Program CoverImage And Description
Real Time River Water & Air Quality Monitoring (WAQM)
Access to clean water and air is indispensable to human life. Yet, managing this access in an efficient and effective manner is an immensely complex challenge. With this background, the Department of Science and Technology, Govt. of India (DST) and Intel® have collaborated to initiate a research program titled “Research Initiative for Real-time River Water and Air Quality Monitoring (WAQM)”. The program will be administered by the binational Indo-U.S. Science and Technology Forum (IUSSTF).
The aim of this initiative is to develop key technologies for sensing, communication and analysis of large-scale data collected from autonomous networks of perpetual/long-lived sensor nodes, followed by integration and deployment for water and air quality monitoring in real-time. The overall objective is to develop tools and constituent blocks that will enable end to end water and air quality monitoring systems on smart, networked, low cost, low power sensor nodes with large scale cloud based data analysis.
Four Research Vectors (RV) have been identified-
Sensing and Sense making at the Edge- To develop novel low cost, low power sensor platforms for selective and sensitive detection of multiple water quality features.
Development of novel small form factor, low cost sensing technologies
Sense making and data analytics at low power edge devices
Novel energy harvesting technologies- To develop novel technologies for energy harvesting that are especially suited for the deployment scenario exploiting solar, water, wind, wave motion etc and also combine more than one energy harvesting mode.
Ultra low power wireless networking- To explore a range of different wireless networking related challenges as applicable to a sensor network for water quality monitoring over a large geographic scale.
Physical layer and RF circuits
MAC and networking layer
Joint sensing and communication for low power optimization for sensors
Distributed analytics and sense making- To develop analytics capabilities (edge, gateway and cloud based) to enable an intelligent, low power, long lifetime/ perpetual operation for water quality monitoring wireless sensor network.
Design and Development of Aquatic Autonomous Observatory (Niracara Svayamsasita VedhShala - NSVS) for In situ Monitoring, Real Time Data Transmission and Web based Visualization
Dr. Bishakh Bhattacharya
Indian Institute of Technology Kanpur
Dr. Zhaohui Aleck Wang
Woods Hole Oceanographic Institution (WHOI)
High resolution air quality monitoring and air pollutant data analytics.
Prof. Bharadwaj Amrutur
Indian Institute of Science, Bangalore
Prof. Eun Sok Kim
University of Southern California
Integrated low cost water sensors for real- time river water monitoring and decision- making.
Dr. Arun Kumar
Indian Institute of Technology Delhi
Dr. Durgamdhab Misra and Dr. Bipin Rajendran
New Jersey Institute of Technology (NJIT) Newark
Streaming Analytics over Temporal Variables from Air quality Monitoring (SATVAM).