Link quality metrics in large scale indoor wireless sensor networks

Author

Bildea, Ana ; Alphand, Olivier ; Rousseau, Frederic ; Duda, A.

Author_Institution

Grenoble Inf. Lab., Grenoble Inst. of Technol., Grenoble, France

fYear

2013

fDate

8-11 Sept. 2013

Firstpage

1888

Lastpage

1892

Abstract

We report results of measurements on SensLAB, an indoor wireless sensor network testbed with a large number of nodes equipped with a CC1101 radio chip. We analyze RSSI and LQI to find the best way to discriminate good links from weak ones and in particular, to derive a metric that estimates the Packet Reception Ratio (PRR) the best. To obtain an estimator of PRR, we have fitted a Fermi-Dirac function to the scatter diagram of the average and standard variation of LQI. The function enables us to find PRR for a given level of LQI. We evaluate the estimator by computing PRR over a varying size window of transmissions and comparing with the estimator.

Keywords

electromagnetic wave scattering; indoor communication; microprocessor chips; statistical analysis; wireless sensor networks; CC1101 radio chip; Fermi-Dirac function; LQI analysis; PRR estimator; RSSI analysis; SensLAB; large scale indoor wireless sensor networks; link quality indicator; link quality metrics; packet reception ratio estimation; received signal strength indicator; scatter diagram; Density functional theory; Fitting; Measurement; Receivers; Standards; Wireless communication; Wireless sensor networks; Link Quality Indicator (LQI); Received Signal Strength indicator (RSSI); SensLAB; Wireless Sensor Networks (WSN); link and routing metrics;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on

Conference_Location

London

ISSN

2166-9570

Type

conf

DOI

10.1109/PIMRC.2013.6666451

Filename

6666451