Context-aware low power intelligent SmartHome based on the Internet of things. (May 2016)

• Record Type: Journal Article
• Authors: Khan, Murad; Din, Sadia; Jabbar, Sohail; Gohar, Moneeb; Ghayvat, Hemant; Mukhopadhyay, S.C.
• Is Part Of: Computers & electrical engineering. Volume 52(2016)
• Page Start: 208
• Page End: 222
• Publication Date: 2016-05
• Subjects: IoT -- Smarthome -- Communication model -- Application -- Analysis -- Visualization; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2016.04.014
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: Constructing a smart home is not a task without intricate challenges due to involvement of various tools and technologies. Therefore, this research work presents a concept of context-aware low power intelligent SmartHome (CLP i SmartHome). For CLP i SmartHome, we propose a communication model, which provides a common medium for communication, i.e., same communication language. Moreover, an architecture is also proposed that welcomes all the electronic devices to communicate with each other using a single platform service. The proposed architecture describes the application, analysis and visualization aspects of the CLP i SmartHome. Furthermore, the feasibility and efficiency of the proposed system are implemented on Hadoop single node setup on UBUNTU 14.04 LTS core TM i5 machine with 3.2 GHz processor and 4 GB memory. Sample medical sensory data sets and fire detection datasets are tested on the proposed system. Finally, the results show that the proposed system architecture efficiently processes, analyzes, and integrates different datasets and triggers actions to provide safety measurements for elderly age people, patients, and others.