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J. Sens. Actuator Netw. 2016, 5(1), 5; doi:10.3390/jsan5010005

Dealing with Data Quality in Smart Home Environments—Lessons Learned from a Smart Grid Pilot

1
AGT International, Hilpertstraße 35 64295 Darmstadt, Germany
2
Furtwangen University, Robert-Gerwig-Platz 1 78120 Furtwangen, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Ioannis Chatzigiannakis
Received: 8 December 2015 / Revised: 30 January 2016 / Accepted: 14 February 2016 / Published: 3 March 2016
(This article belongs to the Special Issue Techno-Human Collective Systems for Smart Cities Innovation)

Abstract

Over the last years, we have witnessed increasing interconnection between the physical and digital world. The so called Internet of Things (IoT) is becoming more and more a reality in application domains like manufacturing, mobile computing, transportation, and many others. However, despite promising huge potential, the application domain of smart homes is still at its infancy and lags behind other fields of IoT. A deeper understanding of this type of techno-human system is required to make this vision a reality. In this paper, we report findings from a three year pilot that sheds light on the challenges of leveraging IoT technology in the home environment. In particular, we provide details on data quality issues in real-world deployments. That is, we analyze application level data for errors in measurements as well as issues in the end-to-end communication. Understanding what data errors to expect is crucial for understanding the smart building domain and paramount for building successful applications. With our work, we provide insights in a domain of IoT that has tremendous growth potential and help researchers as well as practitioners to better account for the data characteristics of smart homes. View Full-Text
Keywords: data quality; internet of things; smart home data quality; internet of things; smart home
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Leonardi, A.; Ziekow, H.; Strohbach, M.; Kikiras, P. Dealing with Data Quality in Smart Home Environments—Lessons Learned from a Smart Grid Pilot. J. Sens. Actuator Netw. 2016, 5, 5.

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