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Title: Optimization schemes for wireless sensor network localization
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Abstract:
Many applications of wireless sensor networks (WSN) require information about the geographical location of each sensor node. Self-organization and localization capabilities are one of the most important requirements in sensor networks. This paper provides an overview of centralized distance-based algorithms for estimating the positions of nodes in a sensor network. We discuss and compare three approaches: semidefinite programming, simulated annealing and two-phase stochastic optimization - a hybrid scheme that we have proposed. ; We analyze the properties of all listed methods and report the results of numerical tests. Particular attention is paid to our technique - the two-phase method - that uses a combination of trilateration, and stochastic optimization for performing sensor localization. We describe its performance in the case of centralized and distributed implementations.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
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Source:
AMCS, volume 19, number 2 (2009) ; click here to follow the link
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License CC BY 4.0:
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Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
- Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2009)
Last modified:
Jul 14, 2025
In our library since:
Apr 9, 2024
Number of object content hits:
49
All available object's versions:
https://www.zbc.uz.zgora.pl/publication/88545
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International Journal of Applied Mathematics and Computer Science (AMCS)
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| Edition name | Date |
|---|---|
| Optimization schemes for wireless sensor network localization | Jul 14, 2025 |
