Name
Abstract | ||
|---|---|---|
Sensor networks are an essential tool for environmental scientists. As scientists and engineers are beginning to utilize these new methods and devices in their fieldwork, they need to be actively involved in the future of sensor-networking development. Continued sensor network innovation is important for improved standardization, affordability, and interoperability. This article uses a storm water case study to outline an end-to-end open-innovation sensor network. Open innovation by scientists, engineers, and entities is the collaborative process of creating value for this project in permeable paver runoff data and advances within sensor networking. This article focuses on the technical implementation of the near-real-time location and temporally aware sensor network. Data are streamed in near-real-time with subliter precision to the cloud using common off-the-shelf routers. The sensors use Maxim's 1-wire (TM) protocol, and the unique digital serial numbers confirm the data. The data retrieved compare residence times within the permeable paver catchment basins and the control basin. Sensor network advances are made by bridging the gap between sensor protocols and communication systems. These advances enable the development of open-source representational state transfer web services. Our successful implementation serves as an example for others to study and expand upon for a variety of monitoring solutions. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1080/17538947.2014.965880 | INTERNATIONAL JOURNAL OF DIGITAL EARTH |
Keywords | Field | DocType |
Internet of things,open innovation,sensor networks,permeable pavers,open geospatial consortium | Geospatial analysis,Data mining,Interoperability,Surface runoff,Open innovation,Geography,Standardization,Wireless sensor network,Sensor web,Cloud computing | Journal |
Volume | Issue | ISSN |
9.0 | 1.0 | 1753-8947 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew J. Rettig | 1 | 1 | 1.06 |
| Sumit Khanna | 2 | 1 | 0.72 |
| Richard A. Beck | 3 | 18 | 5.28 |
| Quinn Wojcik | 4 | 0 | 0.34 |
| Carmen A. McCane | 5 | 0 | 0.34 |