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Sensor Network-based and User-friendly User Location Discovery for Future Smart Homes

Lee, GM (2016) Sensor Network-based and User-friendly User Location Discovery for Future Smart Homes. Sensors, 16 (7). ISSN 1424-8220

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User location is crucial context information for future smart homes where a lot of location based services will be proposed. This location necessarily means that User Location Discovery (ULD) will play an important role in future smart homes. Concerns about privacy and the need to carry a mobile or a tag device within a smart home currently makes conventional ULD systems uncomfortable for users. Future smart homes will need a ULD system to consider these challenges. This paper addresses to design such a ULD system for context-aware services in future smart homes stressing on the following challenges: (i) users’ privacy, (ii) device/tag-free, and (iii) fault tolerance and accuracy. On the other hand, emerging new technologies such as Internet of Things, embedded systems, intelligent devices and machine-to-machine communication are penetrating into our daily life with more and more sensors available for use in our homes. Considering this opportunity, we propose a ULD system that is capitalizing on the prevalence of sensors or home while satisfying the aforementioned challenges. The proposed sensor network-based and user-friendly ULD system relies on different types of cheap sensors as well as a context broker with a fuzzy-based decision maker. The context broker receives context information from different types of sensors and evaluates that data using the fuzzy set theory. We demonstrate the performance of the proposed system by illustrating a use case, utilizing both an analytical model and simulation.

Item Type: Article
Uncontrolled Keywords: 0301 Analytical Chemistry, 0906 Electrical And Electronic Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: MDPI
Date Deposited: 20 Jun 2016 10:19
Last Modified: 04 Sep 2021 12:46
DOI or ID number: 10.3390/s16070969
URI: https://researchonline.ljmu.ac.uk/id/eprint/3798
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