Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Context-Aware Machine-to-Machine Communications
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
2014 (English)In: 2014 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), IEEE , 2014, 730-735 p.Conference paper, Published paper (Refereed)
Abstract [en]

As a key enabler of Internet of things, cellular network based Machine-to-Machine (M2M) communications have been growing rapidly in recent years, being used in a wide range of services such as security, metering, health, remote control, tracking, and so on. A critical issue in M2M communications is the energy efficiency as typically the machine devices are powered by batteries of low capacity and thus, it is the key to optimize their consumption. To achieve higher energy efficiency, this paper proposes the adoption of contexts through a generic context-aware framework for M2M communications. With this framework, machine devices dynamically adapt their settings depending on a series of characteristics such as data reporting mode, QoS features, and network conditions to achieve higher energy efficiency and extend the operating lifetime of M2M networks. Simulation results are provided for four commonly used M2M applications. The results demonstrate considerable energy savings and operating lifetime extension on the network when the proposed context-aware framework is used. Thus, it is shown that contexts play an important role on the energy efficiency of M2M systems.

Place, publisher, year, edition, pages
IEEE , 2014. 730-735 p.
Series
IEEE Conference on Computer Communications Workshops, ISSN 2159-4228
Keyword [en]
M2M, Context-Awareness, Energy Efficiency, Internet of Things, MTC
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-156140DOI: 10.1109/INFCOMW.2014.6849321ISI: 000343582700163Scopus ID: 2-s2.0-84904479767ISBN: 978-1-4799-3088-3 (print)OAI: oai:DiVA.org:kth-156140DiVA: diva2:769518
Conference
IEEE Conference on Computer Communications (INFOCOM), APR 27-MAY 02, 2014, Toronto, CANADA
Funder
Wireless@kth
Note

QC 20141209

Available from: 2014-12-08 Created: 2014-11-21 Last updated: 2016-04-15Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Costa, Javier MendoncaMiao, Guowang
By organisation
Communication Systems, CoSRadio Systems Laboratory (RS Lab)
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 59 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf