Literature Database Entry

chen2009energy

Feng Chen, Isabel Dietrich, Reinhard German and Falko Dressler, "An Energy Model for Simulation Studies of Wireless Sensor Networks using OMNeT++," Praxis der Informationsverarbeitung und Kommunikation (PIK), vol. 32 (2), pp. 133–138, June 2009.

Abstract

Simulation is frequently used to evaluate the performance of networking algorithms and techniques in wireless communication networks. However, performance aspects such as the transmission delay, the channel utilization, or the throughput provide only limited information about the feasibility of the particular approach. This is especially the case when investigating Wireless Sensor Networks (WSNs), which stress energy-efficiency due to extremely limited power source in sensor nodes. Thus, a precise evaluation of the energy efficient performance is demanded. In this paper, we present a generic energy model developed for the simulation framework OMNeT++. The model allows to accurately evaluate the energy performance (in terms of energy consumption or network lifetime) of sensor networks (or in principle any wireless network), taking into account the energy consumption of both the radio transceiver and the CPU. The energy model can be calibrated to arbitrary types of sensor nodes if power measurements are available for the node type. The applicability of the developed energy model is demonstrated in a selected application scenario: the analysis of the energy consumption in IEEE 802.15.4 star networks. Additionally, we outline the need for more complex metrics compared to the energy consumption of single nodes to evaluate the lifetime of the whole sensor network.

Quick access

Original Version (at publishers web site)
Authors' Version (PDF on this web site)
BibTeX

Contact

Feng Chen
Isabel Dietrich
Reinhard German
Falko Dressler

BibTeX reference

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.