Cited By
View all- Zhu TYi P(2013)Reliable and Energy-Efficient Networking Protocol Design in Wireless Sensor NetworksIntelligent Sensor Networks10.1201/b14300-22(411-426)Online publication date: 28-Mar-2013
Wireless link simulations using multi-level Markov models
Pages 391 - 392
Abstract
Modeling the behavior of 802.15.4 links is a non-trivial problem because of the widespread heterogeneity in the quality of any given link over short and long time scales. We propose a novel multilevel approach involving Hidden Markov Models (HMMs) and Mixtures of Multivariate Bernoullis (MMBs) for modeling the long and short time scale behavior of wireless links using experimental data traces collected from multiple 802.15.4 testbeds. We characterize the synthetic traces generated from the proposed model in terms of statistical characteristics as compared to an empirical trace with similar PRR characteristics.
References
[1]
E. N. Gilbert. Capacity of a burst-noise channel. Bell System Tecnical Journal, 39:1253--1266, 1960.
[2]
Ankur U. Kamthe, Miguel Á. Carreira-Perpiñán, and Alberto E. Cerpa. M&M: Multi-level Markov Model for wireless link simulations. In SenSys '09.
Index Terms
- Wireless link simulations using multi-level Markov models
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Published In
November 2009
438 pages
Copyright © 2009 Copyright is held by the author/owner(s).
Sponsors
- SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
- SIGCOMM: ACM Special Interest Group on Data Communication
- SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
- SIGOPS: ACM Special Interest Group on Operating Systems
- SIGBED: ACM Special Interest Group on Embedded Systems
- SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 04 November 2009
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Conference
SenSys09: The 7th ACM Conference on Embedded Network Sensor Systems
November 4 - 6, 2009
California, Berkeley
Acceptance Rates
Overall Acceptance Rate 174 of 867 submissions, 20%
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Cited By
View all- Zhu TYi P(2013)Reliable and Energy-Efficient Networking Protocol Design in Wireless Sensor NetworksIntelligent Sensor Networks10.1201/b14300-22(411-426)Online publication date: 28-Mar-2013
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