Modeling power in multi-functionality sensor network applications

Show simple item record Agarwal, Rachit Martínez-Català, Rafael V. Harte, Seán Segard, Cedric O'Flynn, Brendan 2009-11-05T14:27:27Z 2009-11-05T14:27:27Z 2008 2008
dc.identifier.citation Agarwal, R., Martinez-Catala, R.V., Harte, S., Segard, C., O'Flynn, B. 2008. Modeling Power in Multi-functionality Sensor Network Applications. In: IEEE Proceedings of the Second International Conference on Sensor Technologies and Applications. Cap Esterel, France 25-31 August 25 2008. en
dc.identifier.isbn 978-0-7695-3330-8
dc.identifier.doi 10.1109/SENSORCOMM.2008.64
dc.description Rachit Agarwal, Rafael V. Martinez-Catala, Sean Harte, Cedric Segard, Brendan O'Flynn, "Modeling Power in Multi-functionality Sensor Network Applications," sensorcomm, pp.507-512, 2008 Proceedings of the Second International Conference on Sensor Technologies and Applications, August 25-August 31 2008, Cap Esterel, France en
dc.description.abstract With the migration of a Wireless Sensor Network (WSN) over various evolving applications, power estimation and profiling during the design cycle become critical issues and present hurdles in reducing the design time. Furthermore, with a growing size of the network, simulating the behavior of each sensor node is not feasible. It is important to devise an approach that provides a network-wide picture of power consumption and of variations in power usage under changes in the network and/or node application in the network. In this paper, we present a modular power estimation technique which simplifies the power modeling of any sensor network application. In particular, we are interested in analyzing the behavior of power consumption if one or more modules of the WSN platform in the application are changed during the design cycle or after the deployment. The proposed technique is susceptible to applications changes on the fly and is particularly beneficial in networks with large number of nodes. We perform experiments modifying parameters of a ZigBee based sensor network application such as packet size, sampling rate, functionality (encryption) and sensor types. We present the results, demonstrating an error less than 3% in all the experiments performed, and insights into the results. en
dc.description.sponsorship Marine Institute (Smartcoast Project); Enterprise Ireland (D-Systems project); Science Foundation Ireland (CSET - Centre for Science Engineering and Technology) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher IEEE en
dc.relation.ispartof Proceedings of the Second International Conference on Sensor Technologies and Applications
dc.rights © 2008 IEEE. 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. en
dc.subject Power en
dc.subject Sensor Networks en
dc.subject Functionality en
dc.subject Modular en
dc.subject.lcsh Wireless sensor networks en
dc.title Modeling power in multi-functionality sensor network applications en
dc.type Conference item en
dc.internal.authorurl en
dc.internal.authorurl en
dc.internal.authorcontactother Seán Harte, Tyndall National Institute, Lee Maltings, Cork, Ireland. Email: en
dc.internal.authorcontactother Brendan O'Flynn, Tyndall National Institute, Lee Maltings, Cork, Ireland. Email: en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Marine Institute en
dc.contributor.funder Enterprise Ireland en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en

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