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RSSI Signatures for Outdoor WSN Applied to IoT - Smart Campus and Cities

Authors:
Guilherme Lopes
Omar C Branquinho
Paulo Cardieri
Eduardo Lima
Pedro Chaves
Raphael Montali
Fabiano Fruett

Keywords: - Wireless Sensor Networks; WSN; Link Quality Estimator; Kalman Filter; Moving Average Filter; RSSI.

Abstract:
The implementation of IoT solutions in open environments brings challenges regarding the characterization of radio frequency signals, which impacts in the performance of the network. In this paper we propose the identification of radio frequency signal signatures of sensor nodes located in open environments. We analyse the results of a field test conducted in a rural property. For the signatures identification, we employed strategies that use the original signal and the signals as estimated by moving average and Kalman filters. The results indicated the feasibility of using Kalman filters and the original signal to create rules to identify the signal signature.

Pages: 21 to 24

Copyright: Copyright (c) IARIA, 2018

Publication date: July 22, 2018

Published in: conference

ISSN: 2308-3727

ISBN: 978-1-61208-653-8

Location: Barcelona, Spain

Dates: from July 22, 2018 to July 26, 2018