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E2-MAC: Energy Efficient Medium Access for Massive 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). (COS)
2016 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857Article in journal (Refereed) Published
Abstract [en]

In this paper, we investigate energy-efficient clustering and medium access control (MAC) for cellular-based M2M networks to minimize device energy consumption and prolong network battery lifetime. First, we present an accurate energy consumption model that considers both static and dynamic energy consumptions, and utilize this model to derive the network lifetime. Second, we find the cluster size to maximize the network lifetime and develop an energy-efficient cluster-head selection scheme.

Furthermore, we find feasible regions where clustering is beneficial in enhancing network lifetime. We further investigate communications protocols for both intra- and inter-cluster communications. While inter-cluster communications use conventional cellular access schemes, we develop an energy-efficient and load-adaptive multiple access scheme, called n-phase CSMA/CA, which provides a tunable tradeoff between energy efficiency, delay, and spectral efficiency of the network. The simulation results show that the proposed clustering, cluster-head selection, and communications protocol design outperform the others in energy saving and significantly prolong the lifetimes of both individual nodes and the whole M2M network.

Place, publisher, year, edition, pages
IEEE Press, 2016.
Keyword [en]
Machine to Machine communications, Internet of Things, MAC, Energy efficiency, Lifetime, Delay
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
URN: urn:nbn:se:kth:diva-191156DOI: 10.1109/TCOMM.2016.2605086OAI: diva2:955146

QC 20160921

Available from: 2016-08-24 Created: 2016-08-24 Last updated: 2016-09-21Bibliographically approved

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Miao, GuowangAzari, Amin
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