Article ID Journal Published Year Pages File Type
437144 Theoretical Computer Science 2012 10 Pages PDF
Abstract

A wide range of applications in wireless sensor networks rely on the location information of the sensing nodes. However, traditional localization techniques are dependent on hardware that is sometimes unavailable (e.g. GPS), or on sophisticated virtual localization calculus which have a costly overhead.Instead of actually localizing nodes in the physical two-dimensional Euclidean space, we use directly the raw distance to a set of anchors to produce multi-dimensional coordinates. We prove that the image of the physical two-dimensional Euclidean space is a two-dimensional surface, and we show how to adapt geographic routing strategies on this surface in a simple and efficient manner.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics