Indoor localization based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Network (WSN)

Localization is widely used in Wireless Sensor Networks (WSNs) to identify the current location of the sensor nodes. A WSN consist of thousands of nodes that make the installation of GPS on each sensor node expensive and moreover GPS may not provide exact localization results in an indoor environmen...

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Main Author:	Nur Aina Auni, Ramlan
Format:	Undergraduates Project Papers
Language:	English
Published:	2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/27060/ http://umpir.ump.edu.my/id/eprint/27060/ http://umpir.ump.edu.my/id/eprint/27060/1/Indoor%20localization%20based%20on%20RSSI%20in%20WSN.pdf

id	ump-27060
recordtype	eprints
spelling	ump-270602019-12-19T08:04:41Z http://umpir.ump.edu.my/id/eprint/27060/ Indoor localization based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Network (WSN) Nur Aina Auni, Ramlan QA75 Electronic computers. Computer science Localization is widely used in Wireless Sensor Networks (WSNs) to identify the current location of the sensor nodes. A WSN consist of thousands of nodes that make the installation of GPS on each sensor node expensive and moreover GPS may not provide exact localization results in an indoor environment. Localization is one of the most important challenges in WSNs, in view of the fact that it plays a significant part in many applications. Localization of node involves the activity of monitoring events, group discussion between the nearby sensors, routing the necessary information to the destination by keeping network coverage in check. In this research paper, Received Signal Strength Indicator (RSSI) based trilateration algorithm is proposed for localizing a sink node present in the network with minimal localization error. The position coordinates of the sink node is estimated based on the distance estimates and corresponding position coordinates of the anchor nodes present in the network. This work was performed in Contiki-OS with the help of built-in simulator COOJA. 2019-01 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27060/1/Indoor%20localization%20based%20on%20RSSI%20in%20WSN.pdf Nur Aina Auni, Ramlan (2019) Indoor localization based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Network (WSN). Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Nur Aina Auni, Ramlan Indoor localization based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Network (WSN)
description	Localization is widely used in Wireless Sensor Networks (WSNs) to identify the current location of the sensor nodes. A WSN consist of thousands of nodes that make the installation of GPS on each sensor node expensive and moreover GPS may not provide exact localization results in an indoor environment. Localization is one of the most important challenges in WSNs, in view of the fact that it plays a significant part in many applications. Localization of node involves the activity of monitoring events, group discussion between the nearby sensors, routing the necessary information to the destination by keeping network coverage in check. In this research paper, Received Signal Strength Indicator (RSSI) based trilateration algorithm is proposed for localizing a sink node present in the network with minimal localization error. The position coordinates of the sink node is estimated based on the distance estimates and corresponding position coordinates of the anchor nodes present in the network. This work was performed in Contiki-OS with the help of built-in simulator COOJA.
format	Undergraduates Project Papers
author	Nur Aina Auni, Ramlan
author_facet	Nur Aina Auni, Ramlan
author_sort	Nur Aina Auni, Ramlan
title	Indoor localization based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Network (WSN)
title_short	Indoor localization based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Network (WSN)
title_full	Indoor localization based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Network (WSN)
title_fullStr	Indoor localization based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Network (WSN)
title_full_unstemmed	Indoor localization based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Network (WSN)
title_sort	indoor localization based on received signal strength indicator (rssi) in wireless sensor network (wsn)
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/27060/ http://umpir.ump.edu.my/id/eprint/27060/ http://umpir.ump.edu.my/id/eprint/27060/1/Indoor%20localization%20based%20on%20RSSI%20in%20WSN.pdf
first_indexed	2023-09-18T22:42:26Z
last_indexed	2023-09-18T22:42:26Z
_version_	1777417004752306176

Indoor localization based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Network (WSN)

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