Literature Database Entry


Dominik Bruno Neuner, "Resource monitoring in distributed sensor networks," Master's Thesis, Institute of Computer Science, University of Innsbruck, July 2012. (Advisor: Falko Dressler)


Energy is one of the most important resources of wireless sensor networks. Each packet transmission influences the energy consumption and reduces the node's lifetime. In this master thesis I propose a novel monitoring protocol which continuously monitors the available resources of the sensor nodes in the network, like for instance, spare processing capacity or residual energy, and makes them centrally available in an extremely energy efficient manner. The protocol piggybacks monitoring information onto application layer data packets and transmits all data together to the base station of the network. The presented simulation results prove the great benefit of combining multiple packets instead of forwarding them in separate transmissions. In a grid network scenario the monitoring protocol has a median energy overhead of only 0.8%. They also show that the network structure has a great impact on the energy consumption and on the protocol behavior. The proposed monitoring protocol is independent of the application layer and can be used in multiple domains for energy-efficient monitoring of the network while not influencing the actual task of the sensor network.

Quick access

BibTeX BibTeX


Dominik Bruno Neuner

BibTeX reference

    author = {Neuner, Dominik Bruno},
    title = {{Resource monitoring in distributed sensor networks}},
    advisor = {Dressler, Falko},
    institution = {Institute of Computer Science},
    location = {Innsbruck, Austria},
    month = {7},
    school = {University of Innsbruck},
    type = {Master's Thesis},
    year = {2012},

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

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

This page was automatically generated using BibDB and bib2web.