An Experimental Study on IEEE 802.15.4 Multichannel Transmission to Improve RSSI-Based Service Performance Andrea Bardella, Nicola Bui, Andrea Zanella and Michele Zorzi {bardella,bui,zanella,zorzi}@dei.unipd.it Signet Research Group http://dgt.dei.unipd.it Department of Information Engineering, University of Padova, Italy Special Interest Group on NEtworking & Telecommunication s
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Andrea Bardella, Nicola Bui, Andrea Zanella and Michele Zorzi
Andrea Bardella, Nicola Bui, Andrea Zanella and Michele Zorzi {bardella,bui,zanella,zorzi}@dei.unipd.it Signet Research Group http://dgt.dei.unipd.it Department of Information Engineering, University of Padova, Italy. SIGNET. Special Interest Group on NEtworking & Telecommunications. - PowerPoint PPT Presentation
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An Experimental Study on IEEE 802.15.4 Multichannel Transmission
to Improve RSSI-Based Service Performance
Andrea Bardella, Nicola Bui, Andrea Zanella and Michele Zorzi{bardella,bui,zanella,zorzi}@dei.unipd.it
Signet Research Grouphttp://dgt.dei.unipd.it
Department of Information Engineering, University of Padova, Italy
Goals: Experimental characterization of RSSI Reducing RSSI variability by multi-channel samples harvesting
RSSI: Received Signal Strength IndicatorSupported by most commercial RF transceiversLargely used to assess channel quality and/or used in many localization algos for rangingHigh variability
K dB -21.7 -21.6 -21.7 -22 ··· -22.1 -22 -22 -21.9η 2.03 2.03 2 1.98 ··· 2.01 1.96 2 1.98σΨ dB 4.8 4.4 4.5 4.4 ··· 4.1 4.3 4.4 4.2For each couple of nodes and channel →10 RSSI samples collected over time
Ψ: fitting the normal pdf
indoor → σΨ = 4.6 dB outdoor → σΨ = 3.5 dB
Rx signal statistic
Extreme Value distributedEV(θlocation, θscale)
Weibull distributed [1]
[1] Sagias, N.C., Karagiannidis, G.K.: “Gaussian Class Multivariate Weibull Distribution: Theory and Applications in Fading Channels”, IEEE Trans. on Information Theory (Oct 2005)
z(t)| r(t) | Prx Ptx K 20log10(d /d0)20log10(z(t)) Ptx K 20log10(d /d0)
Ψ: fitting the Extreme Value pdf
Extreme Value distribution fits better the empirical data than the Normal distribution
Conclusion RSSI characterization parametric and statistical statistic model validation RSSI variability mitigation RSSI averaged over time RSSI averaged over frequency Communication protocol
simulationtools
Indoor & Outdoor 802.15.4 RSSI and LQI measurementshttp://telecom.dei.unipd.it/pages/read/59/
Questions?
THANK YOU FOR YOUR ATTENTION!An Experimental Study on IEEE 802.15.4
Multichannel Transmission to Improve RSSI-Based Service Performance
Andrea Bardella, Nicola Bui, Andrea Zanella and Michele Zorzi