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Energy-Efficient Clustering Design for M2M Communications
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
2014 (English)In: 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014Conference paper, Published paper (Refereed)
Abstract [en]

Machine-to-machine (M2M) communications in cellular networks enables Internet of Things in the macro geographical regions and is a promising technique in next-generation wireless networks. In this paper, we study energy-efficient clusteringdesign in cellular networks to maximize the overall network battery life time.

We propose a new clustering design which finds the optimal number of clusters in a cellular network, and maximizes the network energy efficiency, meanwhile rulesof selecting and rotating cluster heads. Different from existing clustering designs, we consider both transmission and circuit energy consumption in this paper. The network performance will be both rigorously analyzed and evaluated using simulations withrespect to dead device ratio, residual energy, and network life. The simulation results show that by using the proposed clustering approach, the network battery life can be improved significantly.

Place, publisher, year, edition, pages
2014.
National Category
Communication Systems
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-159305OAI: oai:DiVA.org:kth-159305DiVA: diva2:784232
Conference
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) December 3-5, 2014. Atlanta, Georgia, USA
Projects
60056
Funder
Wireless@kth, 60056
Note

QC 20150302

Available from: 2015-01-28 Created: 2015-01-28 Last updated: 2015-03-02Bibliographically approved

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