Analysis of different digital filters for received signal strength indicator

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	6727/73498
Uncontrolled Keywords:	Alpha trimmed mean; Digital filter; Energy security; Kalman filter; Received signal strength; RSSI; Simple moving average; Transceivers
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Dr. Mohamed Hadi Habaebi
Date Deposited:	01 Aug 2019 11:02
Last Modified:	11 Sep 2019 20:52
URI:	http://irep.iium.edu.my/id/eprint/73498

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