Statistical model of lossy links in wireless sensor networks

By Alberto E. Cerpa, Jennifer L. Wong, Louane Kuang, Miodrag Potkonjak, Deborah Estrin. IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005., 2005

350 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/6d834951a5498e6a62eba10470eea21688637731

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Citations in the corpus

Real-time Power-Aware Routing in Sensor Networks (2006, background): “More importantly , empirical studies show that link quality is highly variable over time [3][4][7].”
Models and solutions for radio irregularity in wireless sensor networks (2006, methodology): “APPENDIX B A link layer model for simulating link asymmetry was .rst proposed in Cerpa s technical report [Cerpa et al. 2004], and later published in IPSN 2005 [Cerpa et al. 2005].”
Analyzing the transitional region in low power wireless links (2004, background): “[8] identify other factors for link modelling.”
Near-optimal sensor placements: maximizing information while minimizing communication cost (2006, background): “, doors), interference with other radio transmissions, and packet loss due to reflections [2].”
ATPC: adaptive transmission power control for wireless sensor networks (2006, positive): “There are a number of empirical studies on communication reality conducted with real sensor devices [43] [40] [44] [4] [29] [20].”
MMSN: Multi-Frequency Media Access Control for Wireless Sensor Networks (2006, background): “Currently, we do not consider radio irregularity and link asymmetry [36] [37] [38] [39], readers can refer to [40] [41] [42] for more information about reliability issues in broadcast.”
Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks (2004, methodology): “SCALE is also used in [15] to develop statistical models for characterizing links in sensor networks.”
Temporal properties of low power wireless links: modeling and implications on multi-hop routing (2005, methodology): “[2, 4] used heterogeneous hardware platforms consisting of Mica 1 and Mica 2 motes in three different environments to collect comprehensive data about the dependency of reception rates over time with respect to a variety of parameters.”
Radio link quality estimation in wireless sensor networks (2012, methodology): “This observation confirms the one made by [Cerpa et al. 2003, 2005a] stating that asymmetric links are mainly those in the transitional region.”
A Survey of Fault Management in Wireless Sensor Networks (2007, positive): “In addition, empirical studies [4] found that links with very high or very low reception rates tend to be highly symmetrical, while links with intermediate reception rates appear to be much more asymmetric.”