34 research outputs found
Geometric Distance Estimation for Sensor Networks and Unit Disk Graphs
We present an approach to estimating distances in sensor networks. It
works by counting common neighbors, high values indicating closeness.
Such distance estimates are needed in many self-localization
algorithms. Other than many other approaches, ours does not rely on
special equipment in the devices
Shawn: A new approach to simulating wireless sensor networks
We consider the simulation of wireless sensor networks (WSN) using a new
approach. We present Shawn, an open-source discrete-event simulator that has
considerable differences to all other existing simulators. Shawn is very
powerful in simulating large scale networks with an abstract point of view. It
is, to the best of our knowledge, the first simulator to support generic
high-level algorithms as well as distributed protocols on exactly the same
underlying networks.Comment: 10 pages, 2 figures, 2 tables, Latex, to appear in Design, Analysis,
and Simulation of Distributed Systems 200
Spherical designs from norm-3 shell of integral lattices
A set of vectors all of which have a constant (non-zero) norm value in an
Euclidean lattice is called a shell of the lattice. Venkov classified strongly
perfect lattices of minimum 3 (R\'{e}seaux et "designs" sph\'{e}rique, 2001),
whose minimal shell is a spherical 5-design. This note considers the
classification of integral lattices whose shells of norm 3 are 5-designs.Comment: 10 pages, http://www2.math.kyushu-u.ac.jp/~j.shigezumi
Wiederherstellung der Hochwassersicherheit der Talsperre Lehnmühle - physikalische und 3D-numerische Modellierung -
Poster Abstract: SpyGlass: Taking a closer look at Sensor Networks
In this paper we present a modular and extensible visualization framework for wireless sensor networks. These networks have typically no means of visualizing their state, measurements or computational results. Visualization is therefore a key issue to develop and operate these networks. Data emitted by individual sensor nodes is collected by the visualization software and passed to a flexible multi-layer plug-in mechanism that renders the information on a canvas. Developers can easily adapt existing or develop new custom tailored plug-ins for their specific application