Smiljkovic, K., Atanasovski, V. and Gavrilovska, L. (2014) Machine-to-Machine Traffic Characterization: Models and Case Study on Integration in LTE. 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems, Aalborg, 11-14 May, 1-5.
https://doi.org/10.1109/VITAE.2014.6934482

has been cited by the following article:

• TITLE: Steady-State Analysis of the Distributed Queueing Algorithm in a Single-Channel M2M Network

  AUTHORS: Romeo Nibitanga, Elijah Mwangi, Edward Ndung’u

  KEYWORDS: Aloha, Collision Resolution, Distributed Queueing, IoT Networks, M2M Communications, Stability Condition

  JOURNAL NAME: Journal of Computer and Communications, Vol.8 No.9, September 4, 2020

  ABSTRACT: The Distributed Queuing (DQ) algorithm is predicted as one of the solutions to the issues currently found in IoT networks over the use of Aloha based algorithms. Since recently, the algorithm has been of interest to many IoT researchers as a replacement of those Aloha variants for channel access. However, previous works analyzed and evaluated the DQ algorithm without any consideration of the stability of its queues, assuming it is stable for any given number of nodes in the network. In this paper, we define the DQ stability condition in a single-channel M2M environment considering a traffic model of periodic and urgent frames from each node in the network. Besides, a steady-state evaluation of the algorithm’s performance metrics is also presented. In general, the DQ algorithm, when it is stable, was observed not to efficiently use the contention slots for the collision resolution. In a single-channel environment, the DQ algorithm is found to outperform the Aloha based algorithms only in an idle-to-saturation scenario.