ACM Home Page
Please provide us with feedback. Feedback
The sensor spectrum: technology, trends, and requirements
Full text PdfPdf (1.64 MB)
Source ACM SIGMOD Record archive
Volume 32 ,  Issue 4  (December 2003) table of contents
SPECIAL ISSUE: Special section on sensor network technology and sensor data managment table of contents
Pages: 22 - 27  
Year of Publication: 2003
ISSN:0163-5808
Authors
Joseph M. Hellerstein  UC Berkeley, Intel Research Berkeley, MIT
Wei Hong  UC Berkeley, Intel Research Berkeley, MIT
Samuel R. Madden  UC Berkeley, Intel Research Berkeley, MIT
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 7,   Downloads (12 Months): 69,   Citation Count: 6
Additional Information:

abstract   references   cited by   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/959060.959065
What is a DOI?

ABSTRACT

Though physical sensing instruments have long been used in astronomy, biology, and civil engineering, the recent emergence of wireless sensor networks and RFID has spurred a renaissance in sensor interest in both academia and industry. In this paper, we examine the spectrum of sensing platforms, from billion dollar satellites to tiny RF tags, and discuss the technological differences between them. We show that battery powered sensor networks, with low-power multihop radios and low-cost processors, occupy a sweet spot in this spectrum that is rife with opportunity for novel database research. We briefly summarize some of our research work in this space and present a number of examples of interesting sensor network-related problems that the database community is uniquely equipped to address.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
R. Alonso and S. Ganguly. Query optimization in mobile environments. In Workshop on Foundations of Models and Languages for Data and Objects, pages 1--17, September 1993.
2
 
3
T. S. S. Benchmark. Michael stonebraker and jim frew and kenn gardels and jeff meredith. In Proceedings of SIGMOD, pages 2--11, June 1993.
 
4
B. Bonfils and P. Bonnet. Adaptive and decentralized operator placement for in-network query processing. In Proceedings of the First Workshop on Information Processing in Sensor Networks (IPSN), April 2003.
5
 
6
Campbell Scientific. Campbell Scientific Inc. Measurement and Control Systems. Web Page. http:// www.capbellsci.com.
 
7
Campbell Scientific, Inc. Datalogger comparison table. Technical report, 2003. http://www.campebellscientific.com/compare.html.
8
 
9
M. Chu, H. Haussecker, and F. Zhao. Scalable information-driven sensor querying and routing for ad hoc heterogeneous sensor networks. In International Journal of High Performance Computing Applications, 2002., 2002.
 
10
C. Corporation. CC1000 Single Chip Very Low Power RF Transceiver Datasheet. http://www.chipcon.com.
 
11
O. C. Corporation. HOBO/Stow Away Data Loggers and Shuttles. Web Site, September 2003. http://www.onsetcomp.com/Commerce_Pages/product.ccm1?6, 0, ck0365980adb90ef33a9cf632748bc4bad,oc2_170836, hobo.html.
 
12
O. C. Corporation. Onset computer: Battery-operated data loggers and controllers. Web Page, 2003. http://www.onsetcomputer.com.
 
13
P. Cowley, B. Farrell, P. Gilna, and L. Russel. Scientific data management: Real-world issues and requirements. SIGMOD Panel and Abstract, June 1992.
 
14
Crossbow, Inc. Wireless Sensor Networks (Mica Motes). http://www.oxbow.com/Products/Wireless_Sensor_Networks.htm.
 
15
F. Davis, W. Farrell, J. Gray, R. Meches, R. Moore, S. Sides, and M. Stonebraker. Eosdis alternative architecture. Web Site, January 1995. http://research.microsoft.com/~gray/EOS_DIS/.
 
16
T. Dawson. Fog in the california redwood forest: ecosystem inputs and use by plants. Oecologia, 117(4): 476--485, 1998.
17
 
18
I. Duracell. MX1500, September 2003. Available from http://www.duracell.com/oem/Pdf/MX1500.pdf.
 
19
I. Duracell. Ultra CR-V3, September 2003. Available from http://www.duracell.com/oem/Pdf/CRV3.pdf.
 
20
Dust Inc. Company Web Site. http://www.dust-inc.com.
 
21
J. Forester. 170 controller. Technical report, California Department of Transportation, 2003. See http://www.dot.ca.gov/hq/esc/ttsb/electrical/170c.htm.
 
22
J. Hellerstein, W. Hong, S. Madden, and K. Stanek. Beyond average: Towards sophisticated sensing with queries. In Proceedings of the First Workshop on Information Processing in Sensor Networks (IPSN), April 2003.
23
 
24
 
25
K. Inc. Khoral Inc: Khoros Pro 2001 Integrated Development Environment. Web Page. http://www.khoral.com/khoros/.
26
27
 
28
J. Kibler. CERES Science Team Meeting. Technical report, NASA Langley Research Center, May 2001. Available from http://asd-www.larc.nasa.gov/ceres/science_team/ST_Mtg.0105.pdf.
 
29
J. Kwon, P. Varaiya, and A. Skabardonis. Estimation of truck traffic volume from single loop detector using lane-to-lane speed correlation. In National Research Council (U.S.). Transportation Research Board. Meeting, 2003.
30
31
 
32
S. Madden, W. Hong, J. M. Hellerstein, and M. Franklin. TinyDB web page. http://telegraph.cs.berkeley.edu/tinydb.
33
 
34
NASA. Ceres info. Web page, September 2003. http://eosdatainfo.gsfc.nasa.gov/eosdata/terraceres/ceres.html.
 
35
S. Oh, S. G. Ritchie, and C. Oh. An improved travel-time estimation algorithm using dual loop detectors. In National Research Council (U.S.). Transportation Research Board. Meeting, 2002.
 
36
J. Rabaey, J. Ammer, T. Karalar, S. Li, B. Otis, M. Sheets, and T. Tuan. PicoRadios for Wireless Sensor Networks: The Next Challenge in Ultra-Low-Power Design. In Proceedings of the International Solid State Circuits Conference, San Francisco, CA, Feburary 2002. Also see: http://bwrc.eecs.berkeley.edu/Publications/2002/presentations/isscc2000/ISSCCslides.pdf.
 
37
S. Sastry, S. Schaffert, L. Schenato, S. Simic, B. Sinopoli, E. Brewer, D. Culler, and D. Wagner. Development of the NEST Challenge Application: Distributed Pursuit Evasion Games, 2002. Presentation. webs.cs.berkeley.edu/weekly/Berkeley_challenge_app.pdf.
 
38
Sensorial Corporation. sGate wireless sensor gateway. Data Sheet. http://www.sensoria.com/downloads/sGate%20Brochure%2003217-01%20Rev%%20A.pdf.
 
39
SPSS, Inc. SPSS- Home. Web Page, 2003. http://www.spss.com.
 
40
J. W. C. van Lint and N. J. van der Zjipp. An improved travel-time estimation algorithm using dual loop detectors. In National Research Council (U.S.). Transportation Research Board. Meeting, 2003.
 
41
Washington State Department of Transportation. SR520 Ramp Metering at Montlake and Lake Washington Boulevards. Web page, 2002. http://www.wsdot.wa.gov/Projects/SR520RampMeters/loopdetector.htm.
42

Collaborative Colleagues:
Joseph M. Hellerstein: colleagues
Wei Hong: colleagues
Samuel R. Madden: colleagues