Name
Abstract | ||
|---|---|---|
Water quality is vital to human life and economy. However, one sixth of the world's population suffers from lack of safe drinking and domestic water. Aiming to improve the capability of predicting and responding to river pollution disasters, this project collaborated with local offices of Chinese National Bureau of Water Resource to explore new solutions to coping with the ever-growing threat of river water pollution. We presented a distributed data analysis algorithm, Infinitesimal Dividing and Analysis, to efficiently locate pollution sources with data gathered from a ubiquitous wired/wireless sensor network. We elaborate on a @p-calculus based paradigm to enhance collaboration and interaction among individual monitoring stations. Based on these two enabling technologies, we applied our framework to water quality monitoring at two carefully chosen sites in China. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.pmcj.2009.07.019 | Pervasive and Mobile Computing |
Keywords | Field | DocType |
river pollution disaster,water quality monitoring,water quality,collaborative water quality monitoring,infinitesimal dividing,chinese national bureau,domestic water,pollution source,individual monitoring station,data analysis algorithm,river water pollution,safe river water,wireless sensor network,data gathering | Water resource management,Population,Environmental resource management,Computer science,China,Pollution,River pollution,River water,Wireless sensor network,Water quality,Distributed computing | Journal |
Volume | Issue | ISSN |
5 | 5 | Pervasive and Mobile Computing |
Citations | PageRank | References |
2 | 0.38 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Hu | 1 | 778 | 107.21 |
| Bo Hu | 2 | 161 | 27.21 |
| JiZheng Wan | 3 | 29 | 6.40 |
| Huilan Nie | 4 | 2 | 0.38 |
| Chongzhi Zhai | 5 | 2 | 0.38 |