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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| Format: | Article |
| Language: | English English |
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Universitas Ahmad Dahlan & Institute of Advanced Engineering and Science (IAES)
2019
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| Online Access: | 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 |
| _version_ | 1848787808801521664 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T17:30:49Z |
| format | Article |
| id | iium-73498 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:30:49Z |
| publishDate | 2019 |
| publisher | Universitas Ahmad Dahlan & Institute of Advanced Engineering and Science (IAES) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-734982025-01-21T13:32:31Z 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 |
| 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 |
| title | 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_short | Analysis of different digital filters for received signal strength indicator |
| title_sort | analysis of different digital filters for received signal strength indicator |
| topic | TK5101 Telecommunication. Including telegraphy, radio, radar, television |
| 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 |