Enhannced sampling algorithm in bluetooth low energy for indoor localization

Wireless network is a network set up by using radio signal frequency to communicate among computers and other network devices that are not connected by cables of any kind. These network mainly used for communication and data exchange. However, it is also being used to acquired one’s or device’s posi...

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Main Author:	Mat Daud, Mohd Faiz
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Wireless communication systems Bluetooth technology
Online Access:	http://psasir.upm.edu.my/id/eprint/69025/1/FSKTM%202018%2053%20-%20IR.pdf
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id	my-upm-ir.69025
record_format	uketd_dc
spelling	my-upm-ir.690252019-06-17T01:45:17Z Enhannced sampling algorithm in bluetooth low energy for indoor localization 2018-06 Mat Daud, Mohd Faiz Wireless network is a network set up by using radio signal frequency to communicate among computers and other network devices that are not connected by cables of any kind. These network mainly used for communication and data exchange. However, it is also being used to acquired one’s or device’s position with certain accuracy. For outdoor, Global Positioning System (GPS) is being used by peoples to navigate to any places in the world and also used in rocket or guided missile system as well. In case of indoor positioning or localization, GPS system is not possible due to the satellite signal is being block and therefore weak. Bluetooth Low Energy (BLE) is one of many solutions to cover this problem. BLE indoor localizationtechnology able to obtain the position byutilizing the Receive Signal Strength Index (RSSI) which is then used in positioning algorithm such as fingerprinting or trilateration. But there is limitation with theaccuracy of this systemmainly due to unstable RSSI. There are algorithms to stabilized the RSSI such as Kalman Filter, Moving Average, Delta Sampling and many more. And by doing so, it will help to improve the accuracy of the indoor localization. Each of the algorithms has their own strength and weakness. Delta Sampling algorithm is simple to be implemented, yet it is good in removing the flier point and doing so will help to stabilize the RSSI. However, it come with problems that is undecided sample size and number of invalid samples which may lead to wrong result. Therefore, this project enhanced the Delta Sampling algorithm in order to mitigate this issues and through the experiments, it is proven that the proposed algorithm able to stabilize the signal while solving the sample size and number of invalid samples issue. Wireless communication systems Bluetooth technology 2018-06 Thesis http://psasir.upm.edu.my/id/eprint/69025/ http://psasir.upm.edu.my/id/eprint/69025/1/FSKTM%202018%2053%20-%20IR.pdf text en public masters Universiti Putra Malaysia Wireless communication systems Bluetooth technology
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Wireless communication systems Bluetooth technology
spellingShingle	Wireless communication systems Bluetooth technology Mat Daud, Mohd Faiz Enhannced sampling algorithm in bluetooth low energy for indoor localization
description	Wireless network is a network set up by using radio signal frequency to communicate among computers and other network devices that are not connected by cables of any kind. These network mainly used for communication and data exchange. However, it is also being used to acquired one’s or device’s position with certain accuracy. For outdoor, Global Positioning System (GPS) is being used by peoples to navigate to any places in the world and also used in rocket or guided missile system as well. In case of indoor positioning or localization, GPS system is not possible due to the satellite signal is being block and therefore weak. Bluetooth Low Energy (BLE) is one of many solutions to cover this problem. BLE indoor localizationtechnology able to obtain the position byutilizing the Receive Signal Strength Index (RSSI) which is then used in positioning algorithm such as fingerprinting or trilateration. But there is limitation with theaccuracy of this systemmainly due to unstable RSSI. There are algorithms to stabilized the RSSI such as Kalman Filter, Moving Average, Delta Sampling and many more. And by doing so, it will help to improve the accuracy of the indoor localization. Each of the algorithms has their own strength and weakness. Delta Sampling algorithm is simple to be implemented, yet it is good in removing the flier point and doing so will help to stabilize the RSSI. However, it come with problems that is undecided sample size and number of invalid samples which may lead to wrong result. Therefore, this project enhanced the Delta Sampling algorithm in order to mitigate this issues and through the experiments, it is proven that the proposed algorithm able to stabilize the signal while solving the sample size and number of invalid samples issue.
format	Thesis
qualification_level	Master's degree
author	Mat Daud, Mohd Faiz
author_facet	Mat Daud, Mohd Faiz
author_sort	Mat Daud, Mohd Faiz
title	Enhannced sampling algorithm in bluetooth low energy for indoor localization
title_short	Enhannced sampling algorithm in bluetooth low energy for indoor localization
title_full	Enhannced sampling algorithm in bluetooth low energy for indoor localization
title_fullStr	Enhannced sampling algorithm in bluetooth low energy for indoor localization
title_full_unstemmed	Enhannced sampling algorithm in bluetooth low energy for indoor localization
title_sort	enhannced sampling algorithm in bluetooth low energy for indoor localization
granting_institution	Universiti Putra Malaysia
publishDate	2018
url	http://psasir.upm.edu.my/id/eprint/69025/1/FSKTM%202018%2053%20-%20IR.pdf
_version_	1747812659181387776

Enhannced sampling algorithm in bluetooth low energy for indoor localization

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