2012 International Conference on Open Source Systems and Technologies 2012
DOI: 10.1109/icosst.2012.6472830
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Classification of localization algorithms for wireless sensor network: A survey

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Cited by 66 publications
(20 citation statements)
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“…Signature-based techniques [32] assume non-uniform distribution of the nodes to be used as a signature for estimating location by noticing node neighborhoods. In Beacon-based techniques [33], Beacon nodes should identify their absolute positions using GPS or manual configuration. The location of the remaining nodes is estimated using distance/angle measurements to beacon nodes followed by multilateration or triangulation.…”
Section: Sensors Based Localizationmentioning
confidence: 99%
“…Signature-based techniques [32] assume non-uniform distribution of the nodes to be used as a signature for estimating location by noticing node neighborhoods. In Beacon-based techniques [33], Beacon nodes should identify their absolute positions using GPS or manual configuration. The location of the remaining nodes is estimated using distance/angle measurements to beacon nodes followed by multilateration or triangulation.…”
Section: Sensors Based Localizationmentioning
confidence: 99%
“…Localization can be done in two ways: Centralized and Distributed [2]. Centralized localization techniques estimates the location of each sensor node on a network from a central Base Station (BS) or Server, while in the distributed localization techniques each sensor node is equipped with capabilities to estimate its own location on the network.…”
Section: Introductionmentioning
confidence: 99%
“…Centralized localization techniques estimates the location of each sensor node on a network from a central Base Station (BS) or Server, while in the distributed localization techniques each sensor node is equipped with capabilities to estimate its own location on the network. Localization may involves determining the distance (ranging) between nodes and/or finding absolute or relative coordinates (positioning) with or without a reference node usually called the anchor (beacon) node [2].…”
Section: Introductionmentioning
confidence: 99%
“…But the existence of the outliers (outlier distances and outlier anchors) among source data is a fact that cannot be neglected [13]. The outliers can severely degrade the localization accuracy.…”
Section: Related Workmentioning
confidence: 99%