A Comparison of Parametric and Sample-Based Message Representation in Cooperative Localization. (12th September 2012)

• Record Type: Journal Article
• Authors: Lien, Jaime; Ferner, Ulric J.; Srichavengsup, Warakorn; Wymeersch, Henk; Win, Moe Z.
• Other Names: Lohan Elena Academic Editor.
• Is Part Of: International journal of navigation and observation. Volume 2012(2012)
• Publication Date: 2012-09-12
• Subjects: Navigation -- Periodicals; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Global Positioning System -- Periodicals; Earth sciences -- Periodicals; Environmental monitoring -- Periodicals; Navigation; Télédétection; Systèmes d'information géographique; GPS; Sciences de la terre; Environnement -- Surveillance; Earth sciences; Environmental monitoring; Geographic information systems; Global Positioning System; Navigation; Remote sensing; Periodicals; Electronic journals; 629.045
• DOI: 10.1155/2012/281592
• Languages: English
• ISSNs: 1687-5990

Abstract

Abstract : Location awareness is a key enabling feature and fundamental challenge in present and future wireless networks. Most existing localization methods rely on existing infrastructure and thus lack the flexibility and robustness necessary for large ad hoc networks. In this paper, we build upon SPAWN (sum-product algorithm over a wireless network), which determines node locations through iterative message passing, but does so at a high computational cost. We compare different message representations for SPAWN in terms of performance and complexity and investigate several types of cooperation based on censoring. Our results, based on experimental data with ultra-wideband (UWB) nodes, indicate that parametric message representation combined with simple censoring can give excellent performance at relatively low complexity.