Dealing with Data Quality in Smart Home Environments—Lessons Learned from a Smart Grid Pilot
| Autor: | Holger Ziekow, Panayotis Kikiras, Martin Strohbach, Alessandro Leonardi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Control and Optimization
Computer Networks and Communications Computer science smart home 020209 energy Mobile computing 02 engineering and technology data quality internet of things Computer security computer.software_genre lcsh:Technology Domain (software engineering) Application domain Home automation 0202 electrical engineering electronic engineering information engineering Instrumentation Building automation business.industry lcsh:T 021001 nanoscience & nanotechnology Data science Smart grid Work (electrical) Data quality 0210 nano-technology business computer |
| Zdroj: | Journal of Sensor and Actuator Networks, Vol 5, Iss 1, p 5 (2016) Journal of Sensor and Actuator Networks; Volume 5; Issue 1; Pages: 5 Journal of Sensor and Actuator Networks |
| ISSN: | 2224-2708 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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