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Castalia: revealing pitfalls in designing distributed algorithms in WSN

Published: 06 November 2007 Publication History

Abstract

We present Castalia, a simulator for WSN that models many aspects of the WSN system and uses advanced models especially in terms of the channel and radio behaviour. We show the effects of these features in distributed algorithms that work fine with simpler simulators but fail under Castalia. The demo will present the differences, explain the failures and show how to redesign the algorithms to make them work under more realistic conditions.

References

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A. Boulis, S. Ganeriwal, and M. B. Srivastava, "Aggregation in sensor networks: a energy-accuracy trade-off," SNPA 2003, Anchorage, AK, USA, May 11, 2003.
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Castalia http://castalia.npc.nicta.com.au.
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G. Chen, J. Branch, M. J. Pflug, L. Zhu and B. Szymanski. SENSE: A Sensor Network Simulator. Advances in Pervasive Computing and Networking, Springer: 249--267.
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D. Curren, "A Survey of Simulation in Sensor Networks", University of Binghamton project report for subject CS580 http://www.cs.binghamton.edu/~kang/cs580s/david.pdf
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cover image ACM Conferences
SenSys '07: Proceedings of the 5th international conference on Embedded networked sensor systems
November 2007
455 pages
ISBN:9781595937636
DOI:10.1145/1322263
  • General Chair:
  • Sanjay Jha
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 November 2007

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  1. simulation platform

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SenSys '07 Paper Acceptance Rate 25 of 149 submissions, 17%;
Overall Acceptance Rate 174 of 867 submissions, 20%

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