Energy-efficient Clustering Design for M2M Communications

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 effic...

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Main Author: Zhang, Peng
Format: Others
Language:English
Published: KTH, Skolan för informations- och kommunikationsteknik (ICT) 2013
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143332
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spelling ndltd-UPSALLA1-oai-DiVA.org-kth-1433322018-01-12T05:12:36ZEnergy-efficient Clustering Design for M2M CommunicationsengZhang, PengKTH, Skolan för informations- och kommunikationsteknik (ICT)2013Computer and Information SciencesData- och informationsvetenskapMachine-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%. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143332TRITA-ICT-EX ; 2013:250application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Computer and Information Sciences
Data- och informationsvetenskap
spellingShingle Computer and Information Sciences
Data- och informationsvetenskap
Zhang, Peng
Energy-efficient Clustering Design for M2M Communications
description 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%.
author Zhang, Peng
author_facet Zhang, Peng
author_sort Zhang, Peng
title Energy-efficient Clustering Design for M2M Communications
title_short Energy-efficient Clustering Design for M2M Communications
title_full Energy-efficient Clustering Design for M2M Communications
title_fullStr Energy-efficient Clustering Design for M2M Communications
title_full_unstemmed Energy-efficient Clustering Design for M2M Communications
title_sort energy-efficient clustering design for m2m communications
publisher KTH, Skolan för informations- och kommunikationsteknik (ICT)
publishDate 2013
url http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143332
work_keys_str_mv AT zhangpeng energyefficientclusteringdesignform2mcommunications
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