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Energy consumption of minimum energy coding in CDMA wireless sensor networks
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0001-9810-3478
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0001-9940-5929
2007 (English)In: Wireless Sensor Networks / [ed] Langendoen, K; Voigt, T, Springer Berlin/Heidelberg, 2007, Vol. 4373, 212-227 p.Conference paper, Published paper (Other academic)
Abstract [en]

A theoretical framework is proposed for accurate performance analysis of minimum energy coding schemes in Coded Division Multiple Access (CDMA) wireless sensor networks. Bit error rate and average energy consumption is analyzed for two coding schemes proposed in the literature: Minimum Energy coding (ME), and Modified Minimum Energy coding (MME). Since CDMA wireless systems are strongly limited by multi access interference, the system model includes all the relevant characteristics of the wireless propagation. Furthermore, a detailed model of the energy consumption is described as function of the coding schemes, the radio transmit powers, the characteristics of the transceivers, and the dynamics of the wireless channel. A distributed radio power minimization algorithm is also addressed. Numerical results show that ME and MME coding schemes exhibit similar bit error probabilities, whereas MME outperforms ME only in the case of low data rate and large coding codewords.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2007. Vol. 4373, 212-227 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 4373
Keyword [en]
wireless sensor network (WSNs), minimum energy coding, CDMA, OOK, power control, outages
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-26558DOI: 10.1007/978-3-540-69830-2_14ISI: 000244557600014Scopus ID: 2-s2.0-38049143944ISBN: 978-3-540-69829-6 (print)OAI: oai:DiVA.org:kth-26558DiVA: diva2:384771
Conference
4th European Conference on Wireless Sensor Networks Delft, NETHERLANDS, JAN 29-31, 2007
Note
QC 20110110Available from: 2011-01-10 Created: 2010-11-25 Last updated: 2012-02-29Bibliographically approved

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Fischione, CarloJohansson, Karl Henrik

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Ares, Benigno ZuritaFischione, CarloJohansson, Karl Henrik
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