The South Carolina Digital Watershed: End-to-End Support for Real-Time Management of Water Resources

Abstract

Water resources are under unprecedented strain. The combined effects of population growth, climate change, and rural industrialization have led to greater demand for an increasingly scarce resource. Ensuring that communities have adequate access to water—an essential requirement for community health and prosperity—requires finegrained management policies based on real-time in situ data, both environmental and hydrological. To address this requirement at the state level, we have developed the South Carolina Digital Watershed, an end-to-end system for monitoring water resources. In this paper, we describe the design and implementation of the core system components: (i) in situ sensing hardware, (ii) collection and uplink facilities, (iii) data streaming middleware, and (iv) back-end repository and presentation services. We conclude by discussing key organizational and technical challenges encountered during the development process.

An embedded sensing approach to monitoring parking lot occupancy

“…The counting system is based on the MoteStack, an embedded wireless sensing platform developed at Clemson University [1], shown in Figure 1. The (battery-operated) platform is designed to support low-cost, long-lived in situ sensing.…”

“…The explanation for this growth is simple: As the technology components become smaller, "greener", and less expensive, the frontiers for applying this technology become broader. Indeed, embedded sensor networks are already changing the way we study our environment [1], safeguard our infrastructure [2], and interact with our friends [7]. As a coherent area of study, embedded sensor networking is less than a decade old -so we're just getting started.…”

Quality-optimized predictive analytics

“…In the state of the art, it is possible to find quite a few IoT monitoring and predictive analytics solutions such as forest monitoring [2], fire-event prediction and classification [3], agriculture monitoring [4], marine environment states prediction [5], watershed prediction systems [20], health states prediction in rivers [21], or energy management solutions to reduce both the amount of resources needed and the atmospheric emissions [22]. The reader could also refer to the survey [23] and the references therein.…”

A Web-Based Indoor Environment Monitoring System Using Wireless Sensor Networks

“…Currently there are quite a few environmental solutions based on WSNs such as watershed monitoring systems [1], health monitoring in rivers [2], or the environmental and agricultural applications made by the CSIRO Center in Australia [3]. These excellent works give us a plenty of reference value for applying wireless sensor network.…”