Platform-integrated Sensors and Personalized Sensing in Smart Buildings

Milan Milenkovic, Thanh Dang, Ulf Hanebutte, Yonghong Huang

Abstract

We propose, implement, and evaluate a pervasive sensing system that is capable of collecting data from sensors that may surround a user in a given setting. Such systems will enable creation of new types of applications that span across devices, users, and domains based on spatial, temporal, and social aggregations of sensor data. Key innovation in our work is a sensing fabric that collects data from a variety of sensors and leverages platform-integrated sensors, which are built into hosting devices, such as laptops and tablets. These sensors can significantly improve sensing in enterprise settings and they are comparatively inexpensive to manufacture, deploy, and maintain. Our system embodies three key architectural principles: (1) support for a variety of sensor types including platform-integrated sensors for pervasive sensing, (2) use of Internet protocols for sensor connectivity, web technologies and programming model for application development, and (3) use a hybrid sensor database design with a document-oriented component to improve flexibility and performance. We evaluate our implementation in real-world pilots for several months and 73 users. Our results demonstrate that platform-integrated sensors can provide accurate sensing data, have negligible impact on operations of a hosting platform, and that our architecture can provide sensing services across users and devices over a sustained period of time.

References

  1. Campbell, A. T., Eisenman, S. B., Lane, N. D., Miluzzo, E., Peterson, R. A., Lu, H., Zheng, X., Musolesi, M., Fodor, K., and Ahn, G.-S. (2008). The rise of peoplecentric sensing. IEEE Internet Computing, 12(4):12- 21.
  2. Dawson-Haggerty, S., Jiang, X., Tolle, G., Ortiz, J., and Culler, D. (2010). smap: a simple measurement and actuation profile for physical information. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, SenSys 7810, pages 197-210, New York, NY, USA. ACM.
  3. ECMA-383 (2011). Standard ecma-383: Measuring the energy consumption of personal computing products.
  4. EnergyStar (2011). Energystar, http://www.energystar.gov/.
  5. GIE (2011). Gie (consortium) eep, positive-energy challenge,, http://www.enjeu-energie-positive.com/. (2011). Ultrabook inspired by intel,
  6. of-tomorrow/ultrabook.html?cid=sem117p8085.
  7. Jiang, X., Dawson-Haggerty, S., Dutta, P., and Culler, D. (2009). Design and implementation of a high-fidelity ac metering network. In Proceedings of the 2009 International Conference on Information Processing in Sensor Networks, IPSN 7809, pages 253-264, Washington, DC, USA. IEEE Computer Society.
  8. MongoDB (2011). Mongodb, http://www.mongodb.org/.
  9. Ortiz, J. (2012). Stream fs, http://streamfs.cs.berkeley.edu.
  10. OSC (2011). Oregon sustainability center, www.oregonsustainabilitycenter.org/.
  11. Turc, T., Gligor, A., Dumitru, C., and Morar, A. (2010). Development of extensible virtual instruments for scada applications. In Proceedings of the 2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) - Volume 03, AQTR 7810, pages 1-5, Washington, DC, USA. IEEE Computer Society.
Download


Paper Citation


in Harvard Style

Milenkovic M., Dang T., Hanebutte U. and Huang Y. (2013). Platform-integrated Sensors and Personalized Sensing in Smart Buildings . In Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-8565-45-7, pages 47-52. DOI: 10.5220/0004271300470052


in Bibtex Style

@conference{sensornets13,
author={Milan Milenkovic and Thanh Dang and Ulf Hanebutte and Yonghong Huang},
title={Platform-integrated Sensors and Personalized Sensing in Smart Buildings},
booktitle={Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2013},
pages={47-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004271300470052},
isbn={978-989-8565-45-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Platform-integrated Sensors and Personalized Sensing in Smart Buildings
SN - 978-989-8565-45-7
AU - Milenkovic M.
AU - Dang T.
AU - Hanebutte U.
AU - Huang Y.
PY - 2013
SP - 47
EP - 52
DO - 10.5220/0004271300470052