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Energy Efficient Networks for Monitoring Water Quality in Subterranean Rivers

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成果类型:
期刊论文
作者:
Ge, Fei*;Wang, Yuanni
通讯作者:
Ge, Fei
作者机构:
[Ge, Fei] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
[Wang, Yuanni] China Univ Geosci, Sch Comp, Wuhan 430074, Peoples R China.
通讯机构:
[Ge, Fei] C
Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Energy efficiency;Sensor networks;Subterranean rivers;Water quality monitoring
期刊:
Sustainability
ISSN:
2071-1050
年:
2016
卷:
8
期:
6
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61070197]; CCNU [CCNU15A02019]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
The fresh water in rivers beneath the Earth's surface is as significant to humans as that on the surface. However, the water quality is difficult to monitor due to its unapproachable nature. In this work, we consider building networks to monitor water quality in subterranean rivers. The network node is designed to have limited functions of floating and staying in these rivers when necessary. We provide the necessary conditions to set up such networks and a topology building method, as well as the communication process between nodes. Furthermore...

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