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Simulating networks of wireless sensors
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Source Winter Simulation Conference archive
Proceedings of the 33nd conference on Winter simulation table of contents
Arlington, Virginia
SESSION: Telecommunications table of contents
Pages: 1330 - 1338  
Year of Publication: 2001
ISBN:0-7803-7309-X
Authors
Sung Park  University of California, Los Angeles, Los Angeles, CA
Andreas Savvides  University of California, Los Angeles, Los Angeles, CA
Mani B. Srivastava  University of California, Los Angeles, Los Angeles, CA
Sponsors
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
SCS : The Society for Computer Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 69,   Citation Count: 8
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ABSTRACT

Recent advances in low-power embedded processors, radios, and micro-mechanical systems (MEMs) have made possible the development of networks of wirelessly interconnected sensors. With their focus on applications requiring tight coupling with the physical world, as opposed to the personal communication focus of conventional wireless networks, these wireless sensor networks pose significantly different design, implementation, and deployment challenges. In this paper, we present a set of models and techniques that are embodied in a simulation tool for modeling wireless sensor networks. Our work builds up on the infrastructure provided by the widely used ns-2 simulator, and adds a suite of new features and techniques that are specific to wireless sensor networks. These features introduce the notion of a sensing channel through which sensors detect targets, and provide detailed models for evaluating energy consumption and battery lifetime.


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.

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Fuller, T. F., M. Doyle, and J. Newman. 1994. Simulation and Optimization of the Dual Lithium Ion Insertion Cell. Journal of Electrochem. Soc., vol. 141, no. 4, pp 1-10.
 
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Linden, H.D. 1995. Handbook of Batteries. 2nd ed. New York: McGrawHill.
 
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Matsushita Electric Corp. of America. 2001. Panasonic lithium coin cell battery datasheet. Available via http://www.panasonic.com/industrial_oem/battery/battery_oem/chem/lith/lith.htm {accessed July 9, 2001}.
 
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ns-2 simulator. 2001. ns-2 Simulator, Available via http://www.isi.edu/nsnam/ns/ {accessed July 9, 2001}.
 
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Rockwell Scientific Company LLC. 2001. WINS (Wireless Integrated Network Systems) Project. Available via http://wins.rsc.rockwell.com/ {accessed July 9, 2001}.
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Ulmer, C. 2001. Sensor Network Simulator, Available via http://users.ece.gatech.edu/~grimace/research/sensorsimii/ {accessed July 9, 2001}.

CITED BY  8
 
 
 
 
 

Collaborative Colleagues:
Sung Park: colleagues
Andreas Savvides: colleagues
Mani B. Srivastava: colleagues

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