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Optimization schemes for wireless sensor network localization

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Niewiadomska-Szynkiewicz E., Marks M.

International Journal of Applied Mathematics and Computer Science

2009

tom 19

nr 2

291-302

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.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Marks M.

1 Niewiadomska-Szynkiewicz E.

1 2009

Wyniki wyszukiwania

Optimization schemes for wireless sensor network localization