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All Journal Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics
Rafhanah Shazwani Rosli
International Islamic University Malaysia
Computer Science & IT Electrical & Electronics Engineering Engineering

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Analysis of different digital filters for received signal strength indicator Rafhanah Shazwani Rosli; Mohamed Hadi Habaebi; Md. Rafiqul Islam
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (756.867 KB) | DOI: 10.11591/eei.v8i3.1508

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 Meanfilter 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.
On the analysis of received signal strength indicator from ESP8266 Rafhanah Shazwani Rosli; Mohamed Hadi Habaebi; Md Rafiqul Islam
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (652.196 KB) | DOI: 10.11591/eei.v8i3.1511

Abstract

Recently, the concept o Internet of Things has gained a tremendous momentum in the technological world. Internet of Things efficienty connects devices hence improving their quality of life from various aspects. One of the most heavily used device for Internet of Things application is ESP8266 WiFi serial transceiver module. It features access to the Received Signal Strength Indicator readings from the module. In this paper, a characteristic analysis of the Received Signal Strength Indicator readings collected using ESP8266 WiFi serial transceiver module is carried out. The aim is to explore the future possibilities of Received Signal Strength Indicator value as a stand-alone and unique parameter to be used in various applications especially in the domain of Internet of Things. In addition, the potential of the cheap yet sophisticated ESP8266 WiFi serial transceiver module is also highlighted. The findings have shown an insight into the characteristics of Received Signal Strength Indicator readings and how it can be utilized for other different purposes. The findings have brought up a few stimulating issues that may arise from some implementation of Received Signal Strength Indicator readings such as the significant effect of obstruction in the Line of Sight. However, its solution will thrust the Internet of Things’ technological advancementsahead.
Analysis of different digital filters for received signal strength indicator Rafhanah Shazwani Rosli; Mohamed Hadi Habaebi; Md. Rafiqul Islam
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (756.867 KB) | DOI: 10.11591/eei.v8i3.1508

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 Meanfilter 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.
On the analysis of received signal strength indicator from ESP8266 Rafhanah Shazwani Rosli; Mohamed Hadi Habaebi; Md Rafiqul Islam
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (652.196 KB) | DOI: 10.11591/eei.v8i3.1511

Abstract

Recently, the concept o Internet of Things has gained a tremendous momentum in the technological world. Internet of Things efficienty connects devices hence improving their quality of life from various aspects. One of the most heavily used device for Internet of Things application is ESP8266 WiFi serial transceiver module. It features access to the Received Signal Strength Indicator readings from the module. In this paper, a characteristic analysis of the Received Signal Strength Indicator readings collected using ESP8266 WiFi serial transceiver module is carried out. The aim is to explore the future possibilities of Received Signal Strength Indicator value as a stand-alone and unique parameter to be used in various applications especially in the domain of Internet of Things. In addition, the potential of the cheap yet sophisticated ESP8266 WiFi serial transceiver module is also highlighted. The findings have shown an insight into the characteristics of Received Signal Strength Indicator readings and how it can be utilized for other different purposes. The findings have brought up a few stimulating issues that may arise from some implementation of Received Signal Strength Indicator readings such as the significant effect of obstruction in the Line of Sight. However, its solution will thrust the Internet of Things’ technological advancementsahead.
On the analysis of received signal strength indicator from ESP8266 Rafhanah Shazwani Rosli; Mohamed Hadi Habaebi; Md Rafiqul Islam
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (652.196 KB) | DOI: 10.11591/eei.v8i3.1511

Abstract

Recently, the concept o Internet of Things has gained a tremendous momentum in the technological world. Internet of Things efficienty connects devices hence improving their quality of life from various aspects. One of the most heavily used device for Internet of Things application is ESP8266 WiFi serial transceiver module. It features access to the Received Signal Strength Indicator readings from the module. In this paper, a characteristic analysis of the Received Signal Strength Indicator readings collected using ESP8266 WiFi serial transceiver module is carried out. The aim is to explore the future possibilities of Received Signal Strength Indicator value as a stand-alone and unique parameter to be used in various applications especially in the domain of Internet of Things. In addition, the potential of the cheap yet sophisticated ESP8266 WiFi serial transceiver module is also highlighted. The findings have shown an insight into the characteristics of Received Signal Strength Indicator readings and how it can be utilized for other different purposes. The findings have brought up a few stimulating issues that may arise from some implementation of Received Signal Strength Indicator readings such as the significant effect of obstruction in the Line of Sight. However, its solution will thrust the Internet of Things’ technological advancementsahead.
Analysis of different digital filters for received signal strength indicator Rafhanah Shazwani Rosli; Mohamed Hadi Habaebi; Md. Rafiqul Islam
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (756.867 KB) | DOI: 10.11591/eei.v8i3.1508

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 Meanfilter 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.
Co-Authors Md Rafiqul Islam Md. Rafiqul Islam Mohamed Hadi Habaebi