Comparative analysis of digital filters for received signal strength indicator

Increasing demand in Internet of Things applications has drawn researchers to explore deeper into alternative methods that provide efficiency in terms of application, energy, cost and etc. One of the techniques proposed by the current trend is the use of Received Signal Strength Indicator value...

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Main Authors:	Rosli, Rafhanah Shazwani, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2018
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/67947/ http://irep.iium.edu.my/67947/ http://irep.iium.edu.my/67947/ http://irep.iium.edu.my/67947/7/67947%20Comparative%20Analysis%20of%20Digital%20Filters.pdf http://irep.iium.edu.my/67947/13/67947%20Comparative%20Analysis%20of%20Digital%20Filters_scopus.pdf

id	iium-67947
recordtype	eprints
spelling	iium-679472019-08-17T03:34:20Z http://irep.iium.edu.my/67947/ Comparative analysis of digital filters for received signal strength indicator Rosli, Rafhanah Shazwani Habaebi, Mohamed Hadi Islam, Md. Rafiqul TK5101 Telecommunication. Including telegraphy, radio, radar, television Increasing demand in Internet of Things applications has drawn researchers to explore deeper into alternative methods that provide efficiency in terms of application, energy, cost and etc. One of the techniques proposed by the current trend is the use of 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 a more reliable data. A comparative analysis of three different types of digital filters is discussed in this paper which are Simple Moving Average filter, Alpha Trimmed Mean filter and Kalman filter. There are three criteria used to observe the performance of the 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. Hence, this paper portrays the possibilities of Received Signal Strength Indicator in different Internet of Things applications given a proper choice of digital signal processing filter. IEEE 2018-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/67947/7/67947%20Comparative%20Analysis%20of%20Digital%20Filters.pdf application/pdf en http://irep.iium.edu.my/67947/13/67947%20Comparative%20Analysis%20of%20Digital%20Filters_scopus.pdf Rosli, Rafhanah Shazwani and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul (2018) Comparative analysis of digital filters for received signal strength indicator. In: 2018 7th International Conference on Computer Communication Engineering (ICCCE2018), 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8539338 10.1109/ICCCE.2018.8539338
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 Comparative analysis of digital filters for received signal strength indicator
description	Increasing demand in Internet of Things applications has drawn researchers to explore deeper into alternative methods that provide efficiency in terms of application, energy, cost and etc. One of the techniques proposed by the current trend is the use of 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 a more reliable data. A comparative analysis of three different types of digital filters is discussed in this paper which are Simple Moving Average filter, Alpha Trimmed Mean filter and Kalman filter. There are three criteria used to observe the performance of the 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. Hence, this paper portrays the possibilities of Received Signal Strength Indicator in different Internet of Things applications given a proper choice of digital signal processing filter.
format	Conference or Workshop Item
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	Comparative analysis of digital filters for received signal strength indicator
title_short	Comparative analysis of digital filters for received signal strength indicator
title_full	Comparative analysis of digital filters for received signal strength indicator
title_fullStr	Comparative analysis of digital filters for received signal strength indicator
title_full_unstemmed	Comparative analysis of digital filters for received signal strength indicator
title_sort	comparative analysis of digital filters for received signal strength indicator
publisher	IEEE
publishDate	2018
url	http://irep.iium.edu.my/67947/ http://irep.iium.edu.my/67947/ http://irep.iium.edu.my/67947/ http://irep.iium.edu.my/67947/7/67947%20Comparative%20Analysis%20of%20Digital%20Filters.pdf http://irep.iium.edu.my/67947/13/67947%20Comparative%20Analysis%20of%20Digital%20Filters_scopus.pdf
first_indexed	2023-09-18T21:36:27Z
last_indexed	2023-09-18T21:36:27Z
_version_	1777412853462990848

Comparative analysis of digital filters for received signal strength indicator

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