Signal-centric predictive polling for medium access control in M2M communications networks

Rung-Hung Gau, Chih Huan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we propose signal-centric polling-based medium access control algorithms for machine-to-machine communications networks in which the total number of machines is much larger than the total number of channels. To minimize the total prediction error of signals collected at the base station in each time slot, we propose the signal-centric predictive polling algorithm. To mitigate the starvation problem, we propose the weighted signal-centric predictive polling algorithm that strikes a good balance between prediction error and fairness. Analytical and simulation results are included to justify the usage of the proposed algorithms.

Original languageEnglish
Title of host publication2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1107-1112
Number of pages6
ISBN (Electronic)9781479984060
DOIs
StatePublished - 9 Mar 2015
Event2015 IEEE Wireless Communications and Networking Conference, WCNC 2015 - New Orleans, United States
Duration: 9 Mar 201512 Mar 2015

Publication series

Name2015 IEEE Wireless Communications and Networking Conference, WCNC 2015

Conference

Conference2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
Country/TerritoryUnited States
CityNew Orleans
Period9/03/1512/03/15

Keywords

  • machine-to-machine communications
  • mean square estimation
  • polling-based medium access control
  • stochastic processes

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