Waylon Brunette
Gaetano Borriello
ABSTRACT
Many applications in ubiquitous computing rely on knowing where people and objects are relative to each other. By placing small wireless sensors on people, at specific locations, and on or in a wide variety of everyday objects we can collect these proximate relationships and deduce much about a person's or an object's context. This paper investigates the practical issues of recording these proximity interactions using RF wireless sensors and explores the benefits of collecting/mining proximity data and how user context and usage habits can be inferred for use by proactive applications. We describe some of the issues we faced in collecting usable proximity data from RF wireless sensors. Specifically, we discuss some of the ranging experiments we conducted, our approach to utilizing the limited local data store, and how we implemented a low-overhead time synchronization scheme. We present initial results from one of the applications we are targeting: a proactive reminding system that informs users when they leave important items behind.
- M. Lamming and D. Bohm "SPECs: Personal Pervasive Systems". IEEE Computer, Vol 36, No 6, pp 109--111, June 2003.]] Google Scholar
Digital Library
- R. Collins, A. Lipton, H. Fujiyoshi, and T. Kanade, "Algorithms for cooperative multisensor surveillance," Proceedings of the IEEE, Vol. 89, No. 10, pp. 1456--1477, 2001.]]Google ScholarCross Ref
- B. Schilit, N. Adams, and R. Want. "Context-aware computing applications." In Proceedings of IEEE Workshop on Mobile Computing Systems and Applications, pp 85--90, 1994.]]Google Scholar
- J. Hightower and G. Borriello. "A survey and Taxonomy of Location Systems for Ubiquitious Computing" UW-CSE Tech Report #01-08-03, August 2001.]]Google Scholar
- J. Kahn, R. Katz, and K. Pister. "Next century challenges: mobile networking for Smart Dust." In Proceedings of the fifth annual ACM/IEEE international conference on Mobile computing and networking, pp 271--278, 1999.]] Google ScholarDigital Library
- M. Rahimi, H. Shah, G. Sukhatme, J.n Heidemann and D. Estrin. Project available at http://www.cens.ucla.edu/Project-Descriptions/Energy_Harvesting/index.html]]Google Scholar
- Tennenhouse, David. "Proactive Computing." Communications of the ACM, Vol. 43, No. 5, pages 43--50, January 2000.]] Google ScholarDigital Library
- R. Want, T. Pering, G. Danneels, M. Kumar, M. Sundar and J. Light. "The Personal Server: changing the way we think about ubiquitous computing." Proceedings of UbiComp 2002, pp 194--209.]] Google ScholarDigital Library
- L. E. Holmquist, F. Mattern, B. Schiele, P. Alahuhta, M. Beigl and H.W. Gellersen, "Smart_Its Friends: A Technique for Users to Easily Establish Connections between Smart Artefacts". Proceedings of UbiComp 2001, pp 116--122.]] Google ScholarDigital Library
- Gellersen, Hans-Werner and Michael Beigl and Holger Krull. "The Media Cup: Awareness Technology Embedded in an Everyday Object." Proceedings of the First International Symposium on Handheld and Ubiquitous Computing, No. 1707, pp. 308--310, Springer, September 1999.]] Google ScholarDigital Library
- J. Hightower, R.Want, and G. Borriello, "SpotON: An Indoor 3D Location Sensing Technology Based on RF Signal Strength," UW CSE 00-02-02, Feb. 2000.]]Google Scholar
- N. Bulusu, V. Bychkovskiy, D. Estrin, and J. Heidemann. "Scalable, Ad Hoc Deployable, RF-Based Localization. http://www.isi.edu/~johnh/PAPERS/Bulusu02a.html " Proceedings of the Grace Hopper Celebration of Women in Computing, October, 2002.]]Google Scholar
- L. Guibas, "Sensing, tracking, and reasoning with relations." IEEE Signal Processing Magazine, Vol 19 No 2: pp 73-85, March, 2002.]]Google ScholarCross Ref
- http://www.xbow.com/Products/ Wireless_Sensor_Networks.htm]]Google Scholar
- Elson, Jeremy and Kay Römer. "Wireless Sensor Networks: A New Regime for Time Synchronization." Proceedings of the First Workshop on Hot Topics in Networks (HotNets-I), 28-29 October 2002.]]Google Scholar
- Guide Project Web Page, http://seattleweb.intel-research.net/projects/guide/index.htm.]]Google Scholar
Index Terms
- Proximity interactions between wireless sensors and their application
Recommendations
System architecture of a wireless body area sensor network for ubiquitous health monitoring
Recent technological advances in sensors, low-power microelectronics and miniaturization, and wireless networking enabled the design and proliferation of wireless sensor networks capable of autonomously monitoring and controlling environments. One of ...
Smart air-conditioning control by wireless sensors: an online optimization approach
e-Energy '13: Proceedings of the fourth international conference on Future energy systemsOne of the most prominent applications of smart technology for energy saving is in buildings, in particular, for optimizing heating, ventilation, and air-conditioning (HVAC) systems. Traditional HVAC systems rely on wired temperature regulators and ...
A survey on IP-based wireless sensor network solutions
Wireless sensor networks (WSNs) are composed of thousands of smart-sensing nodes, which capture environment data for a sink node. Such networks present new challenges when compared with traditional computer networks, namely in terms of smart node ...
Comments