Paper Info
Title
Analysis and modelling of power consumption-aware priority-based scheduling for M2M data aggregation over long-term-evolution networks.
Abstract
The deployment of billions of machine-to-machine (M2M) devices is expected to have an enticing effluence in cellular networks. Data aggregation is an attractive scheme to decrease power consumption; however, it introduces longer delay to the aggregated data. M2M devices have disparate traffic types with different delay requirements. In this study, the author proposes a priority-based data aggregat...
Year
DOI
Venue
2017
10.1049/iet-com.2016.0468
IET Communications
Keywords
Field
DocType
cellular radio,data aggregation,internetworking,Long Term Evolution,network servers,numerical analysis,power consumption,queueing theory,telecommunication scheduling,telecommunication traffic
Preemption,Software deployment,News aggregator,Computer science,Scheduling (computing),Computer network,Real-time computing,Default gateway,Queueing theory,Cellular network,Data aggregator
Journal
Volume
Issue
ISSN
11
2
1751-8628
Citations 
PageRank 
References 
1
0.35
14
Authors
1
Name
Order
Citations
PageRank
Salman A. Al-qahtani12610.53