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Energy-efficient Clustering Design for M2M Communications
KTH, School of Information and Communication Technology (ICT).
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Machine-to-machine (M2M) communications have appeared as an advanced technology for next-generation communications and are undergoing rapid development. In this project, we investigate M2M communications in a wireless cellular network. In M2M communications, clustering is a technology for more efficient data gathering and higher network energy efficiency. We will analyze existing clustering designs in literature and propose two new clustering designs for M2M communications in cellular networks. Performance of the proposed designs will be evaluated thoroughly using both analytical and simulation tools across many aspects, including energy consumption, dead device ratio, residual energy, and network life. The results show that with simple static energy-efficient clustering operations, the network life can be extended by about 50%.

Place, publisher, year, edition, pages
2013. , 50 p.
Series
TRITA-ICT-EX, 2013:250
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-143332OAI: oai:DiVA.org:kth-143332DiVA: diva2:706229
Subject / course
Communications Systems
Educational program
Master of Science - Wireless Systems
Examiners
Available from: 2014-03-19 Created: 2014-03-19 Last updated: 2014-03-19Bibliographically approved

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fulltext(2770 kB)615 downloads
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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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Output format
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