Analysis of different digital filters for received signal strength indicator

Due to high demand in Internet of Things applications, researchers are exploring deeper alternative methods to provide efficiency in terms of application, energy, and cost among other factors. A frequently used technique is the Received Signal Strength Indicator value for different Internet of Thing...

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Main Authors: Rosli, Rafhanah Shazwani, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul
Format: Article
Language:English
English
Published: Universitas Ahmad Dahlan & Institute of Advanced Engineering and Science (IAES) 2019
Subjects:
Online Access:http://irep.iium.edu.my/73498/
http://irep.iium.edu.my/73498/
http://irep.iium.edu.my/73498/
http://irep.iium.edu.my/73498/1/1508-3196-1-PB.pdf
http://irep.iium.edu.my/73498/7/73498_Analysis%20of%20different%20digital%20filters_scopus.pdf
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recordtype eprints
spelling iium-734982019-09-11T12:52:11Z http://irep.iium.edu.my/73498/ Analysis of different digital filters for received signal strength indicator Rosli, Rafhanah Shazwani Habaebi, Mohamed Hadi Islam, Md. Rafiqul TK5101 Telecommunication. Including telegraphy, radio, radar, television Due to high demand in Internet of Things applications, researchers are exploring deeper alternative methods to provide efficiency in terms of application, energy, and cost among other factors. A frequently used technique is the Received Signal Strength Indicator value for different Internet of Things applications. It is imperative to investigate the digital signal filter for the Received Signal Strength Indicator readings to interpret it into more reliable data. A contrasting analysis of three different types of digital filters is presented in this paper, namely: Simple Moving Average filter, Alpha Trimmed Mean filter and Kalman filter. There are three criteria used to observe the performance of these digital filters which are noise reduction, data proximity and delays. Based on the criteria, the choice of digital signal processing filter can be determined in accordance with its implementations in [ractice. For example, Alpha-Trimmed Mean filter is shown to be more efficient if used in the pre-processing of Received Signal Strength Indicator readings for physical intrusion detection due to its high data proximity. Hence, this paper illustrates the possibilities of the use of Received Signal Strength Indicator in different Internet of Things applications given a proper choice of digital signal processing filter. Universitas Ahmad Dahlan & Institute of Advanced Engineering and Science (IAES) 2019-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/73498/1/1508-3196-1-PB.pdf application/pdf en http://irep.iium.edu.my/73498/7/73498_Analysis%20of%20different%20digital%20filters_scopus.pdf Rosli, Rafhanah Shazwani and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul (2019) Analysis of different digital filters for received signal strength indicator. Bulletin of Electrical Engineering and Informatics (BEEI), 8 (3). pp. 970-977. ISSN 2089-3191 E-ISSN 2302-9285 http://www.beei.org/index.php/EEI/article/view/1508/1159 10.11591/eei.v8i3.1508
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle TK5101 Telecommunication. Including telegraphy, radio, radar, television
Rosli, Rafhanah Shazwani
Habaebi, Mohamed Hadi
Islam, Md. Rafiqul
Analysis of different digital filters for received signal strength indicator
description Due to high demand in Internet of Things applications, researchers are exploring deeper alternative methods to provide efficiency in terms of application, energy, and cost among other factors. A frequently used technique is the Received Signal Strength Indicator value for different Internet of Things applications. It is imperative to investigate the digital signal filter for the Received Signal Strength Indicator readings to interpret it into more reliable data. A contrasting analysis of three different types of digital filters is presented in this paper, namely: Simple Moving Average filter, Alpha Trimmed Mean filter and Kalman filter. There are three criteria used to observe the performance of these digital filters which are noise reduction, data proximity and delays. Based on the criteria, the choice of digital signal processing filter can be determined in accordance with its implementations in [ractice. For example, Alpha-Trimmed Mean filter is shown to be more efficient if used in the pre-processing of Received Signal Strength Indicator readings for physical intrusion detection due to its high data proximity. Hence, this paper illustrates the possibilities of the use of Received Signal Strength Indicator in different Internet of Things applications given a proper choice of digital signal processing filter.
format Article
author Rosli, Rafhanah Shazwani
Habaebi, Mohamed Hadi
Islam, Md. Rafiqul
author_facet Rosli, Rafhanah Shazwani
Habaebi, Mohamed Hadi
Islam, Md. Rafiqul
author_sort Rosli, Rafhanah Shazwani
title Analysis of different digital filters for received signal strength indicator
title_short Analysis of different digital filters for received signal strength indicator
title_full Analysis of different digital filters for received signal strength indicator
title_fullStr Analysis of different digital filters for received signal strength indicator
title_full_unstemmed Analysis of different digital filters for received signal strength indicator
title_sort analysis of different digital filters for received signal strength indicator
publisher Universitas Ahmad Dahlan & Institute of Advanced Engineering and Science (IAES)
publishDate 2019
url http://irep.iium.edu.my/73498/
http://irep.iium.edu.my/73498/
http://irep.iium.edu.my/73498/
http://irep.iium.edu.my/73498/1/1508-3196-1-PB.pdf
http://irep.iium.edu.my/73498/7/73498_Analysis%20of%20different%20digital%20filters_scopus.pdf
first_indexed 2023-09-18T21:44:13Z
last_indexed 2023-09-18T21:44:13Z
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