TU Berlin

Main document

Literature Database Entry


Johannes C. Rauh, "Netzwerkzentrische Datenverarbeitung in Sensor-/Aktornetzen," Master's Thesis, Department of Computer Science, Friedrich–Alexander University of Erlangen–Nuremberg (FAU), February 2007. (Advisor: Falko Dressler)


In the context of the project ROSES (RObot assisted SEnsor networkS) sensor/actuator networks are being researched and developed at the Friedrich-Alexander-University Erlangen-Nuremberg. Thereby all main topics about sensor networks are being covered. This includes self organisation, energy management, localisation and performance capability of networks and the simulation thereof. A new approach for further optimization is network-centric data processing in sensor/actuator networks. The notable feature of this is that data evaluation and decision-making is relocated from the base station into the network itself. Thus data processing is located directly onto the nodes of the network and these engage directly in controlling the actions of the network. In the context of this master thesis, I have been designing a rule-based language RSN (Rule-based Sensor Network). For the realisation and application of this rule-based language, an interpreter has been developed and implemented. Additionally two other software tools have been developed – rsnwizard and qrsn. These tools allow users to simply extend the language and to graphically demonstrate the functioning of the control tasks. Based on the simulation tool OMNeT++ the network can be simulated and analyzed. For that purpose the language RSN has been implemented into the environment of the simulation tool. The outcome of this master thesis allows the user to write control tasks for sensor/actuator nodes. For each node an individual control task can be configured. When simulating the total rule-based network, these control tasks are used for simulation.

Quick access

BibTeX BibTeX


Johannes C. Rauh

BibTeX reference

    author = {Rauh, Johannes C.},
    title = {{Netzwerkzentrische Datenverarbeitung in Sensor-/Aktornetzen}},
    advisor = {Dressler, Falko},
    institution = {Department of Computer Science},
    location = {Erlangen, Germany},
    month = {2},
    school = {Friedrich--Alexander University of Erlangen--Nuremberg (FAU)},
    type = {Master's Thesis},
    year = {2007},

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.