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ThinkMind // ICN 2018, The Seventeenth International Conference on Networks // View article icn_2018_2_20_3070010


A Novel Ranging Method Using Bimodal Gaussian Distributed RSSI Measurements

Authors:
Jing Jing Wang
Jun Gyu Hwang
KwangEog Lee
Joon Goo Park

Keywords: RSSI, Weight, Altofrequency, Attenuation Log Model

Abstract:
The ranging method based on Received Signal Strength Indicator (RSSI) widely uses in indoor positioning technology of Wireless Sensing Network (WSN) because of low cost and low complexity. The primary challenge is how to overcome some of the phenomena that affect signal propagation in a real environment, such as multipath, diffraction, and absorption. Also, it makesthe positioning method more accurate. We are interested in the fact that influences on RSSI measurements from indoor propagation environments can be another ranging error source. In other words, to improve the ranging accuracy, the factors influencing RSSI measurements should be minimized or compensated. In this paper, we propose a method using bimodal Gaussian distribution to get more accurate estimated RSSI. The proposed method uses RSSI measurements with bimodal Gaussian distributed characteristics in a reference position. The experimental results in the proposed method show that more precise results are achieved compared with the existing method.

Pages: 23 to 27

Copyright: Copyright (c) IARIA, 2018

Publication date: April 22, 2018

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-625-5

Location: Athens, Greece

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

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