Creator:
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