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- Title
Analysis and modelling of power consumption-aware priority-based scheduling for M2M data aggregation over long-termevolution networks.
- Authors
AlQahtani, Salman A.
- 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 aggregation scheme at the M2M gateway that effectively maintains a good trade-off between the power consumption and delay requirement. An analytical model that considers the idle and busy states behaviour of the aggregator using preemption M/G/1 queuing with priority disciplines is developed and analysed. The performance measures in terms of system delay and power consumption are derived and used to quantify the trade-off between M2M delay sensitive traffic and low power consumption provisions. Based on the numerical and simulation results, the proposed scheme provides a good trade-off between delay and power consumption.
- Subjects
LONG-Term Evolution (Telecommunications); MACHINE-to-machine communications; ENERGY consumption; COMPUTER simulation; QUEUING theory; WIRELESS communications
- Publication
IET Communications (Wiley-Blackwell), 2017, Vol 11, Issue 2, p177
- ISSN
1751-8628
- Publication type
Article
- DOI
10.1049/iet-com.2016.0468