Niewiadomska-Szynkiewicz, Ewa ; Marks, Michał
Contributor: Title:Optimization schemes for wireless sensor network localization
Group publication title: Subject and Keywords:wireless sensor networks ; localization ; stochastic optimization ; simulated annealing
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
Date: Resource Type: DOI: Pages: Source:AMCS, volume 19, number 2 (2009) ; click here to follow the link
Language: License CC BY 4.0: Rights: