A wireless sensor network (WSN) consists of a large number of sensor nodes that are
capable of detecting many types of information from the environment, including temperature,
light, humidity, radiation and seismic vibrations. Current applications of
WSNs include: physical security, air traffic control, video surveillance, environment
and building monitoring. Such applications require that each sensor node knows its exact
location. In this context, the received signal strength indicator (RSSI) is often used
for distance measurements between the sensor nodes. This thesis presents a method
for the evaluation of the RSSI properties in application to node localization in WSN.
More specifically, a WSN application is implemented for collecting RSSI measurement
in different conditions. The application consists of two parts: an experiment control
script which runs on a computer, and an experiment mote firmware which runs on
each WSN node. Statistical analysis of variance (ANOVA) was performed to determine
the factors affecting the RSSI measurements. Result analysis shows that: the relation
between RSSI values and distances depends on the environment; the used WSN
motes are manufactured with enough precision, as the differences between the motes
are insignificant; even if the RSSI measurements have significant variation, the mean
RSSI values correlate with the distances; using different transmission power levels can
provide additional information about the distances.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QQLA.2009/26078 |
| Date | 03 1900 |
| Creators | Smolau, Siarhei |
| Contributors | Beaubrun, Ronald |
| Publisher | Université Laval |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Format | text/html, application/pdf |
| Rights | © Siarhei Smolau, 2009 |
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