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Hardware design experiences in ZebraNet
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Source Conference On Embedded Networked Sensor Systems archive
Proceedings of the 2nd international conference on Embedded networked sensor systems table of contents
Baltimore, MD, USA
SESSION: Systems II table of contents
Pages: 227 - 238  
Year of Publication: 2004
ISBN:1-58113-879-2
Authors
Pei Zhang  Princeton University, Princeton, NJ
Christopher M. Sadler  Princeton University, Princeton, NJ
Stephen A. Lyon  Princeton University, Princeton, NJ
Margaret Martonosi  Princeton University, Princeton, NJ
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGBED: ACM Special Interest Group on Embedded Systems
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 41,   Downloads (12 Months): 256,   Citation Count: 41
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ABSTRACT

The enormous potential for wireless sensor networks to make a positive impact on our society has spawned a great deal of research on the topic, and this research is now producing environment-ready systems. Current technology limits coupled with widely-varying application requirements lead to a diversity of hardware platforms for different portions of the design space. In addition, the unique energy and reliability constraints of a system that must function for months at a time without human intervention mean that demands on sensor network hardware are different from the demands on standard integrated circuits. This paper describes our experiences designing sensor nodes and low level software to control them.

In the ZebraNet system we use GPS technology to record fine-grained position data in order to track long term animal migrations [14]. The ZebraNet hardware is composed of a 16-bit TI microcontroller, 4 Mbits of off-chip flash memory, a 900 MHz radio, and a low-power GPS chip. In this paper, we discuss our techniques for devising efficient power supplies for sensor networks, methods of managing the energy consumption of the nodes, and methods of managing the peripheral devices including the radio, flash, and sensors. We conclude by evaluating the design of the ZebraNet nodes and discussing how it can be improved. Our lessons learned in developing this hardware can be useful both in designing future sensor nodes and in using them in real systems.


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
Atmel. AT45DB041B, 4Mbit, 2.7-Volt Only Serial-Interface Flash with 2 264B SRAM Buffers data sheet. www.atmel.com, June 2003.
 
2
Census of Marine Life. POST: Pacific Ocean Salmon Tracking Project. http://www.postcoml.org/, 2003.
 
3
Center for Embedded Networked Sensing. Research Infrastructure: James Reserve Local Area Power System and Network Enhancements. http://www.cens.ucla.edu/Project-Descriptions/Research_Infrastructure.
 
4
A. Chandrakasan. MIT μAMPS Project. http://www-mtl.mit.edu/research/icsystems/uamps/.
 
5
S. Ćuk. Switching DC-TO-DC Converter with Zero Input or Output Current Ripple. In Proc. IEEE Industry Applications Society Meeting, Oct. 1978.
 
6
R. Doluschitz. Precision Agriculture - Applications, Economic Considerations, Experiences and Perspectives. In EFITA 2003 Conference, July 2003.
 
7
P. Eggenburger. GPS-MS1E Miniature GPS Receiver Module Data Sheet. www.u-blox.ch, Oct. 2001.
 
8
D. Ganesan et al. Complex Behavior at Scale: An Experimental Study of Low-Power Wireless Sensor Networks. UCLA Tech. Report CSD-TR 02-0013, Feb. 2002.
 
9
P. Gibbons et al. IrisNet: An Architecture for a Worldwide Sensor Web. IEEE Pervasive Computing, 2(4):22--33, Oct-Dec 2003.
 
10
11
 
12
Intel Corp. New Computing Frontiers--The Wireless Vineyard. www.intel.com/labs/features/rs01031.htm, 2004.
 
13
Ireland National Centre for Sensor Research. Eco-Sensor Network Project. www.ncsr.ie/ecosensorweb, 2004.
14
 
15
 
16
R. Kling. Intel Mote: An Enhanced Sensor Network Node. In Intl. Workshop on Advanced Sensors, Structural Health Monitoring, and Smart Structures, Nov. 2003.
 
17
I. Kovacs, P. Eggers, and K. Olesen. Radio Channel Characterisation for Forest Environments in the VHF and UHF Frequency Bands. In IEEE 50th Vehicular Technology Conference, Amsterdam, pages 1387--1391, Sept. 1999.
 
18
Q. Li, M. DeRosa, and D. Rus. Distributed algorithms for guiding navigation across a sensor network. In 2nd Intl. Workshop on Information Processing in Sensor Networks (IPSN), 2003.
19
20
 
21
D. Malan et al. CodeBlue: An Ad Hoc Sensor Network Infrastructure for Emergency Medical Care. In Intl. Workshop on Wearable and Implantable Body Sensor Networks, Apr. 2004.
 
22
Maxstream. 9XStream Wireless Modem Data Sheet and OEM manual. www.maxstream.net, June 2002.
 
23
R. Min et al. Energy-Centric Enabling Technologies for Wireless Sensor Networks. IEEE Wireless Communications, 9(4):28--39, Aug. 2002.
 
24
P. Misra and P. Enge. Global Positioning System: Signals, Measurements, and Performance. Ganga-Jamuna Press, Lincoln, Mass., 2001.
 
25
Mpala Wildlife Foundation. Mpala research centre. http://www.mpalafoundation.org/researchctr/.
 
26
 
27
Rockwell Science Center. Wireless Integrated Network Sensors (WINS). http://wins.rsc.rockwell.com/.
 
28
K. Romer. Tracking Real-World Phenomena with Smart Dust. In EWSN 2004, Jan. 2004.
 
29
S. Roundy et al. A 1.9GHz RF Transmit Beacon using Environmentally Scavenged Energy. In IEEE Intl. Symp. on Low Power Elec. and Devices, Aug. 2003.
 
30
 
31
R. Szewczyk et al. Lessons from a Sensor Network Expedition. In EWSN 2004, Jan. 2004.
 
32
Texas Instruments. MSP430 Mixed Signal Microcontroller. http://www.ti.com/, 2002.
 
33
The Center for Conservation Biology. VAFALCONS. http://fsweb.wm.edu/ccb/index.html, 2002.
34
 
35
UC Davis Wildlife Health Center. Southern California Puma Project. www.vetmed.ucdavis.edu/whc/scp/, 2004.
 
36
University of Western Australia. Environment Monitoring of Soil Moisture with Wireless Sensor Networks. http://www.csse.uwa.edu.au/adhocnets/WSNgroup/soil-water-proj/, 2004.
 
37
M. Welsh. Environment Monitoring of Soil Moisture with Wireless Sensor Networks. http://motelab.eecs.harvard.edu/, 2004.
 
38
Xemics. Product Brief: RGPSM002 GPS Receiver. http://www.xemics.com/, 2004.
39

CITED BY  41

Collaborative Colleagues:
Pei Zhang: colleagues
Christopher M. Sadler: colleagues
Stephen A. Lyon: colleagues
Margaret Martonosi: colleagues