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Accuracy of Power Prediction Models in ZigBee Sensor Networks Applied in Grass Environment

Authors:
Teles de Sales Bezerra
José Anderson Rodrigues Souza
Erlandson de Sales Bezerra
Saulo Aislan da Silva Eleutério
Jerônimo Silva Rocha
Reinaldo Cézar de Morais Gomes
Anderson Fabiano Batista Ferreira Costa

Keywords: Wireless Sensor; RSSI; Sports environment; Real measurements

Abstract:
Wireless Sensor Networks (WSNs) have become an area of great interest due to their usage in a wide range of applications. A preliminary study concerning the viability of a WSN introduced in the environment is recommended, considering that this type of network is applied with several variables that influence the operation of the network. Those variables directly affect the network performance metrics such as the Received Signal Strength Indicator (RSSI). The present paper provides a study about the application of a WSN on a specific environment to practice sports, in which the RSSI metric was used to study the link quality. The study uses several power prediction models, and the results were compared with real measurements in order to identify the best prediction model in this particular environment.

Pages: 39 to 44

Copyright: Copyright (c) IARIA, 2017

Publication date: June 25, 2017

Published in: conference

ISSN: 2308-4030

ISBN: 978-1-61208-562-3

Location: Venice, Italy

Dates: from June 25, 2017 to June 29, 2017