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Wireless sensor network localization using angle rigidity.

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Title: Wireless sensor network localization using angle rigidity.
Authors: Kılıçarslan Ouach, Meral1 (AUTHOR) m.kilicarslan@kku.edu.tr, Eren, Tolga1 (AUTHOR) eren@kku.edu.tr
Source: Wireless Networks (10220038). Apr2026, Vol. 32 Issue 2, p1367-1384. 18p.
Subjects: Wireless sensor networks, Geometric rigidity, Mathematical optimization, Simulated annealing, Computer simulation, Mathematical sequences
Abstract: This study applies angle−rigidity principles and Type−I sequences to improve localization in wireless sensor networks by reducing redundant angle measurements and integrating simulated annealing for optimization. It examines the sufficient condition for global angle rigidity as proposed in previous research, which involves obtaining global angle rigidity through a sequence of Type−I vertex additions from a generically rigid 3−vertex angularity. The research emphasizes the efficacy of angle−based localization strategies in wireless sensor networks, highlighting their precision and resilience advantages compared to other approaches. By providing theoretical and practical insights, this study contributes to advancing the discourse on wireless sensor network localization and informing future research directions towards more sophisticated localization algorithms within the framework of angle rigidity. We employ computational simulations to demonstrate the practical applications of the Type−I angle rigidity model, while simulated annealing further validates the robustness of these methods and their ability to enhance the localization accuracy and reliability in wireless sensor network deployments. [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.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 193278110
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Wireless sensor network localization using angle rigidity.
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  Data: <searchLink fieldCode="JN" term="%22Wireless+Networks+%2810220038%29%22">Wireless Networks (10220038)</searchLink>. Apr2026, Vol. 32 Issue 2, p1367-1384. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Geometric+rigidity%22">Geometric rigidity</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Simulated+annealing%22">Simulated annealing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+sequences%22">Mathematical sequences</searchLink>
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  Data: This study applies angle−rigidity principles and Type−I sequences to improve localization in wireless sensor networks by reducing redundant angle measurements and integrating simulated annealing for optimization. It examines the sufficient condition for global angle rigidity as proposed in previous research, which involves obtaining global angle rigidity through a sequence of Type−I vertex additions from a generically rigid 3−vertex angularity. The research emphasizes the efficacy of angle−based localization strategies in wireless sensor networks, highlighting their precision and resilience advantages compared to other approaches. By providing theoretical and practical insights, this study contributes to advancing the discourse on wireless sensor network localization and informing future research directions towards more sophisticated localization algorithms within the framework of angle rigidity. We employ computational simulations to demonstrate the practical applications of the Type−I angle rigidity model, while simulated annealing further validates the robustness of these methods and their ability to enhance the localization accuracy and reliability in wireless sensor network deployments. [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/s11276-026-04114-6
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 1367
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      – SubjectFull: Wireless sensor networks
        Type: general
      – SubjectFull: Geometric rigidity
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Simulated annealing
        Type: general
      – SubjectFull: Computer simulation
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      – SubjectFull: Mathematical sequences
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      – TitleFull: Wireless sensor network localization using angle rigidity.
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              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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