Koordinatenfreies Lokationsbewusstsein (Localization without Coordinates)
Alexander Kroeller, Sandor P. Fekete, Carsten Buschmann, Stefan, Fischer, Dennis Pfisterer

TL;DR
This paper explores coordinate-free localization in sensor networks by proposing a graph-based model that clusters nodes based on properties and models their neighborhood structure, aiming to improve application performance without relying on explicit coordinates.
Contribution
It introduces an abstract, graph-based approach for location awareness in sensor networks that moves beyond traditional coordinate assignment methods.
Findings
Identifies limitations of coordinate-based localization
Proposes clustering nodes by properties and modeling their neighborhoods as graphs
Suggests potential improvements for sensor network applications
Abstract
Localization is one of the fundamental issues in sensor networks. It is almost always assumed that it must be solved by assigning coordinates to the nodes. This article discusses positioning algorithms from a theoretical, practical and simulative point of view, and identifies difficulties and limitations. Ideas for more abstract means of location awareness are presented and the resulting possible improvements for applications are shown. Nodes with certain topological or environmental properties are clustered, and the neighborhood structure of the clusters is modeled as a graph. Eines der fundamentalen Probleme in Sensornetzwerken besteht darin, ein Bewusstsein fuer die Position eines Knotens im Netz zu entwickeln. Dabei wird fast immer davon ausgegangen, dass dies durch die Zuweisung von Koordinaten zu erfolgen hat. In diesem Artikel wird auf theoretischer, praktischer und simulativer…
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Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Indoor and Outdoor Localization Technologies · Geographic Information Systems Studies
