Traffic-Aware Two-Stage Queueing Communication Networks: Queue Analysis and Energy Saving

Nan Qi, Nikolaos I. Miridakis, Ming Xiao, Theodoros A. Tsiftsis, Rugui Yao, Shi Jin

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

To boost energy saving for the general delay-tolerant IoT networks, a two-stage, and single-relay queueing communication scheme is investigated. Concretely, a traffic-aware $N$-threshold and gated-service policy are applied at the relay. As two fundamental and significant performance metrics, the mean waiting time and long-term expected power consumption are explicitly derived and related with the queueing and service parameters, such as packet arrival rate, service threshold and channel statistics. Besides, we take into account the electrical circuit energy consumptions when the relay server and access point (AP) are in different modes and energy costs for mode transitions, whereby the power consumption model is more practical. The expected power minimization problem under the mean waiting time constraint is formulated. Tight closed-form bounds are adopted to obtain tractable analytical formulae with less computational complexity. The optimal energy-saving service threshold that can flexibly adjust to packet arrival rate is determined. In addition, numerical results reveal that: 1) sacrificing the mean waiting time not necessarily facilitates power savings; 2) a higher arrival rate leads to a greater optimal service threshold; and 3) our policy performs better than the current state-of-the-art.

Original languageEnglish
Article number9069230
Pages (from-to)4919-4932
Number of pages14
JournalIEEE Transactions on Communications
Volume68
Issue number8
DOIs
Publication statusPublished - Aug 2020

Keywords

  • Delay tolerant IoT relaying networks
  • N-threshold and gated policy
  • and traffic-aware power saving
  • mean waiting time
  • two-hop queueing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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