Title
Dealing with Data Quality in Smart Home Environments - Lessons Learned from a Smart Grid Pilot.
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.
Year
Venue
Field
2016
J. Sensor and Actuator Networks
Mobile computing,Data science,Data quality,Smart grid,Computer science,Computer security,Internet of Things,Computer network,Home automation,Application domain,Building automation
DocType
Volume
Issue
Journal
5
1
Citations 
PageRank 
References 
1
0.37
4
Authors
4
Name
Order
Citations
PageRank
Alessandro Leonardi1869.82
Holger Ziekow215018.30
Martin Strohbach322431.60
Panayotis K. Kikiras411513.17