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Pascal's triangle-based range-free localization for anisotropic wireless networks.

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Title: Pascal's triangle-based range-free localization for anisotropic wireless networks.
Authors: Lee, Sangwoo1 lswoo@hanyang.ac.kr, Jin, Myungjun1 zend@hanyang.ac.kr, Koo, Bonhyun1 kasgalomio@hanyang.ac.kr, Sin, Cheonsig2 cssin@etri.re.kr, Kim, Sunwoo1 remero@hanyang.ac.kr
Source: Wireless Networks (10220038). Oct2016, Vol. 22 Issue 7, p2221-2238. 18p.
Subjects: Pascal's triangle, Indoor positioning systems, Anisotropy, Wireless sensor networks, Wireless sensor nodes, Algorithms
Abstract: This paper introduces a Pascal's triangle model to draw the potential locations and their probabilities for a normal node given the hop counts to the anchors according to the extent of detour of the shortest paths. Based on our proposed model, a Pascal's triangle-based localization (PTL) algorithm using local connectivity information is presented for anisotropic wireless networks with a small number of anchors. The superiority of the PTL algorithm has been validated over the state-of-the-art algorithms through MATLAB simulations. We have shown that compared to the other algorithms, the PTL algorithm achieves higher localization accuracy with even fewer anchors. We have also validated the performance of the PTL algorithm in a real environment. [ABSTRACT FROM AUTHOR]
Copyright of Wireless Networks (10220038) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: This paper introduces a Pascal's triangle model to draw the potential locations and their probabilities for a normal node given the hop counts to the anchors according to the extent of detour of the shortest paths. Based on our proposed model, a Pascal's triangle-based localization (PTL) algorithm using local connectivity information is presented for anisotropic wireless networks with a small number of anchors. The superiority of the PTL algorithm has been validated over the state-of-the-art algorithms through MATLAB simulations. We have shown that compared to the other algorithms, the PTL algorithm achieves higher localization accuracy with even fewer anchors. We have also validated the performance of the PTL algorithm in a real environment. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Wireless Networks (10220038) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11276-015-1095-9
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        Text: English
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        Type: general
      – SubjectFull: Indoor positioning systems
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      – SubjectFull: Anisotropy
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      – SubjectFull: Wireless sensor networks
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              Text: Oct2016
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