GPS-Free Localization Algorithm for Wireless Sensor Networks

Localization is one of the most fundamental problems in wireless sensor networks, since the locations of the sensor nodes are critical to both network operations and most application level tasks. A GPS-free localization scheme for wireless sensor networks is presented in this paper. First, we develo...

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Main Authors: Lei Wang, Qingzheng Xu
Format: Article
Language:English
Published: MDPI AG 2010-06-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/10/6/5899/
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spelling doaj-c95b03471645469caedf92ceb76211bc2020-11-24T21:04:44ZengMDPI AGSensors1424-82202010-06-011065899592610.3390/s100605899GPS-Free Localization Algorithm for Wireless Sensor NetworksLei WangQingzheng XuLocalization is one of the most fundamental problems in wireless sensor networks, since the locations of the sensor nodes are critical to both network operations and most application level tasks. A GPS-free localization scheme for wireless sensor networks is presented in this paper. First, we develop a standardized clustering-based approach for the local coordinate system formation wherein a multiplication factor is introduced to regulate the number of master and slave nodes and the degree of connectivity among master nodes. Second, using homogeneous coordinates, we derive a transformation matrix between two Cartesian coordinate systems to efficiently merge them into a global coordinate system and effectively overcome the flip ambiguity problem. The algorithm operates asynchronously without a centralized controller; and does not require that the location of the sensors be known a priori. A set of parameter-setting guidelines for the proposed algorithm is derived based on a probability model and the energy requirements are also investigated. A simulation analysis on a specific numerical example is conducted to validate the mathematical analytical results. We also compare the performance of the proposed algorithm under a variety multiplication factor, node density and node communication radius scenario. Experiments show that our algorithm outperforms existing mechanisms in terms of accuracy and convergence time. http://www.mdpi.com/1424-8220/10/6/5899/wireless sensor networkslocalizationGPS-freelocal coordinate systemglobal coordinate systemmatrix transform
collection DOAJ
language English
format Article
sources DOAJ
author Lei Wang
Qingzheng Xu
spellingShingle Lei Wang
Qingzheng Xu
GPS-Free Localization Algorithm for Wireless Sensor Networks
Sensors
wireless sensor networks
localization
GPS-free
local coordinate system
global coordinate system
matrix transform
author_facet Lei Wang
Qingzheng Xu
author_sort Lei Wang
title GPS-Free Localization Algorithm for Wireless Sensor Networks
title_short GPS-Free Localization Algorithm for Wireless Sensor Networks
title_full GPS-Free Localization Algorithm for Wireless Sensor Networks
title_fullStr GPS-Free Localization Algorithm for Wireless Sensor Networks
title_full_unstemmed GPS-Free Localization Algorithm for Wireless Sensor Networks
title_sort gps-free localization algorithm for wireless sensor networks
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2010-06-01
description Localization is one of the most fundamental problems in wireless sensor networks, since the locations of the sensor nodes are critical to both network operations and most application level tasks. A GPS-free localization scheme for wireless sensor networks is presented in this paper. First, we develop a standardized clustering-based approach for the local coordinate system formation wherein a multiplication factor is introduced to regulate the number of master and slave nodes and the degree of connectivity among master nodes. Second, using homogeneous coordinates, we derive a transformation matrix between two Cartesian coordinate systems to efficiently merge them into a global coordinate system and effectively overcome the flip ambiguity problem. The algorithm operates asynchronously without a centralized controller; and does not require that the location of the sensors be known a priori. A set of parameter-setting guidelines for the proposed algorithm is derived based on a probability model and the energy requirements are also investigated. A simulation analysis on a specific numerical example is conducted to validate the mathematical analytical results. We also compare the performance of the proposed algorithm under a variety multiplication factor, node density and node communication radius scenario. Experiments show that our algorithm outperforms existing mechanisms in terms of accuracy and convergence time.
topic wireless sensor networks
localization
GPS-free
local coordinate system
global coordinate system
matrix transform
url http://www.mdpi.com/1424-8220/10/6/5899/
work_keys_str_mv AT leiwang gpsfreelocalizationalgorithmforwirelesssensornetworks
AT qingzhengxu gpsfreelocalizationalgorithmforwirelesssensornetworks
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