GDL

Experiments for Evaluating Sensors' Precision in Wireless Sensor Networks

ISSN : 0976 - 1764
Journal from gdlhub / 2017-08-14 11:52:34
Oleh : Ronald Beaubrun and Siarhei Smolau, International Journal of Ad hoc, Sensor & Ubiquitous Computing
Dibuat : 2012-07-04, dengan 1 file

Keyword : Analysis of variance (ANOVA), received signal strength indicator (RSSI), wireless sensor networks (WSN).
Subjek : Experiments for Evaluating Sensors' Precision in Wireless Sensor Networks
Url : http://airccse.org/journal/ijasuc/papers/0612asuc08.pdf
Sumber pengambilan dokumen : Internet

In this paper, we propose a set of experiments for evaluating sensors’ precision in measuring received


signal strength indicator (RSSI) in wireless sensor networks (WSN). More specifically, a WSN application


is implemented for collecting RSSI measurements in different conditions. The application consists of two


parts: an experiment control script which runs on a computer, and an experiment sensor firmware which


runs on each WSN node. Statistical analysis of variance (ANOVA) is performed to determine if the WSN


nodes used are manufactured with enough precision. Obtained results demonstrate that the differences


between the sensors are insignificant, even if the RSSI measurements have significant variation.

Deskripsi Alternatif :

In this paper, we propose a set of experiments for evaluating sensors’ precision in measuring received


signal strength indicator (RSSI) in wireless sensor networks (WSN). More specifically, a WSN application


is implemented for collecting RSSI measurements in different conditions. The application consists of two


parts: an experiment control script which runs on a computer, and an experiment sensor firmware which


runs on each WSN node. Statistical analysis of variance (ANOVA) is performed to determine if the WSN


nodes used are manufactured with enough precision. Obtained results demonstrate that the differences


between the sensors are insignificant, even if the RSSI measurements have significant variation.

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