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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2018
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| Subjects: | |
| 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 |
| Summary: | 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. |
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