@misc{Niewiadomska-Szynkiewicz_Ewa_Optimization,
 author={Niewiadomska-Szynkiewicz, Ewa and Marks, Michał},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 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.},
 abstract={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.},
 type={artykuł},
 title={Optimization schemes for wireless sensor network localization},
 keywords={wireless sensor networks, localization, stochastic optimization, simulated annealing},
}