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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 19, number 2 (2009) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
2024-04-09
2024-04-09
14
https://zbc.uz.zgora.pl/repozytorium/publication/88545
Nazwa wydania | Data |
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Optimization schemes for wireless sensor network localization | 2024-04-09 |
Niewiadomska-Szynkiewicz, Ewa Korbicz, Józef - red. Uciński, Dariusz - red.
Strausz, György Korbicz, Józef - red. Uciński, Dariusz - red.
Sikora, Andrzej Niewiadomska-Szynkiewicz, Ewa Korbicz, Józef - red.
Zhang, Jing Xu, Li Zhou, Shu-Ming Wu, Wei Ye, Xiucai Korbicz, Józef - red. Uciński, Dariusz - red.
Brdyś, Mietek A. Borowa, Adam Idźkowiak, Piotr Brdyś, Marcin T. Korbicz, Józef - ed.
Kulczycki, Piotr Łukasik, Szymon Kowal, Marek - red. Korbicz, Józef - red.
Niewiadomska-Szynkiewicz, Ewa Żmuda, Maciej Malinowski, Krzysztof Korbicz, Józef - red. Uciński, Dariusz - red.
Martínez, Pablo A. Castelán, Mario Arechavaleta, Gustavo Korbicz, Józef - red. Uciński, Dariusz - red.