Title | ||
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An Efficient Data Storage Method of NoSQL Database for HEM Mobile Applications in IoT |
Abstract | ||
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In this work, an efficient data storage method of NoSQL database is proposed for mobile devices and Internet applications to monitor appliance status in a home environment in real-time, and a home energy management (HEM) mobile App for monitoring this information is also developed. An HBase cluster is constructed as a test bed for evaluation. The evaluation is conducted based on the developed APP accessing data stored by the proposed method, and it shows promising efficiency. This App together with the proposed method can help users better aware of the details of their home energy usage, and can even help other remote software agents/applications to deliver further useful applications, e.g. Large scale monitoring on demand response. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/iThings.2014.62 | iThings/GreenCom/CPSCom |
Keywords | DocType | Citations |
relational databases,home energy usage,hem mobile app,hem mobile application,hbase cluster,home automation,home energy management,iot,iot applications,hbase,app accessing data storage,graphical user interfaces,remote software agent,nosql database,smart phones,mobile computing,mobile agents,sql,internet of things,electricity,mobile communication,databases | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wei-Chen Chen | 1 | 10 | 3.89 |
Ya-Hung Chen | 2 | 5 | 1.11 |
Chaolin Wu | 3 | 237 | 26.05 |
Li-Chen Fu | 4 | 1419 | 196.64 |