research-article

Energy Framework: an extensible framework for simulating battery consumption in wireless networks

Authors:

Laura Marie Feeney,

Daniel WillkommAuthors Info & Claims

SIMUTools '10: Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques

Article No.: 20, Pages 1 - 4

https://doi.org/10.4108/ICST.SIMUTOOLS2010.8725

Published: 15 March 2010 Publication History

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Abstract

Energy Framework is an extensible OMNeT++ framework for modeling battery consumption in wireless networks. It is designed so there is a clear separation between modeling of battery state and energy consuming operations, enabling more sophisticated modeling of system behavior. The Energy Framework is largely implemented in "pure" OMNeT++; it has been successfully incorporated into the Mobility Framework and MiXiM.

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Cited By

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Khurana MThalore RRaina VJha M(2014)Energy Modeling of ML-MAC Wireless Sensor Network ProtocolProceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies10.1145/2677855.2677910(1-7)Online publication date: 14-Nov-2014
https://dl.acm.org/doi/10.1145/2677855.2677910
Feeney LAndersson LLindgren AStarborg SAhlberg Tidblad ANavda VYoussef M(2012)A testbed for measuring battery discharge behaviorProceedings of the seventh ACM international workshop on Wireless network testbeds, experimental evaluation and characterization10.1145/2348688.2348710(91-92)Online publication date: 22-Aug-2012
https://dl.acm.org/doi/10.1145/2348688.2348710
Helgason ÓKouyoumdjieva SLiu JQuaglia FEidenbenz SGilmore S(2011)Enabling multiple controllable radios in OMNeT++ nodesProceedings of the 4th International ICST Conference on Simulation Tools and Techniques10.5555/2151054.2151124(398-401)Online publication date: 21-Mar-2011
https://dl.acm.org/doi/10.5555/2151054.2151124

Index Terms

Energy Framework: an extensible framework for simulating battery consumption in wireless networks
1. Computing methodologies
  1. Modeling and simulation

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Information & Contributors

Information

Published In

SIMUTools '10: Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques

March 2010

598 pages

ISBN:9789639799875

General Chairs:
L. Felipe Perrone
Bucknell University, Lewisburg, PA
,
Giovanni Stea
University of Pisa, Pisa, Italy
,
Program Chairs:
Jason Liu
Florida International University, Miami, Florida
,
Adelinde Uhrmacher
Institute of Computer Science, Rostock, Germany
,
Manuel Villén-Altamirano
UPM, Spain

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Publisher

ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

Brussels, Belgium

Publication History

Published: 15 March 2010

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SIMUTools '10

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ICST

SIMUTools '10: 3rd International Conference on Simulation Tools and Techniques

March 15 - 19, 2010

Malaga, Torremolinos, Spain

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Overall Acceptance Rate 20 of 73 submissions, 27%

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Cited By

View all

Khurana MThalore RRaina VJha M(2014)Energy Modeling of ML-MAC Wireless Sensor Network ProtocolProceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies10.1145/2677855.2677910(1-7)Online publication date: 14-Nov-2014
https://dl.acm.org/doi/10.1145/2677855.2677910
Feeney LAndersson LLindgren AStarborg SAhlberg Tidblad ANavda VYoussef M(2012)A testbed for measuring battery discharge behaviorProceedings of the seventh ACM international workshop on Wireless network testbeds, experimental evaluation and characterization10.1145/2348688.2348710(91-92)Online publication date: 22-Aug-2012
https://dl.acm.org/doi/10.1145/2348688.2348710
Helgason ÓKouyoumdjieva SLiu JQuaglia FEidenbenz SGilmore S(2011)Enabling multiple controllable radios in OMNeT++ nodesProceedings of the 4th International ICST Conference on Simulation Tools and Techniques10.5555/2151054.2151124(398-401)Online publication date: 21-Mar-2011
https://dl.acm.org/doi/10.5555/2151054.2151124

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Index Terms

Recommendations

EEM-EHWSN: Enhanced Energy Management Scheme in Energy Harvesting Wireless Sensor Networks

Energy-efficient network selection with mobility pattern awareness in an integrated WiMAX and WiFi network

An energy-efficient handover scheme with geographic mobility awareness in WiMAX-WiFi integrated networks