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ThinkMind // ICN 2017, The Sixteenth International Conference on Networks // View article icn_2017_1_10_30073

A Congestion Control Approach for M2M Networks

Authors:
David Aragão
Dario Vieira
Miguel Franklin de Castro

Keywords: IoT; LTE; M2M; Congestion Control

Abstract:
Machine-to-Machine(M2M)isacommunicationmodel used by devices where data can be exchanged with little or no human intervention. The M2M communication, when applied in the context of LTE networks, can lead to overload and congestion problems due to its intrinsic particularities. Accordingly, in this paper we propose a congestion control approach for Long-Term Evolution (LTE) that reduces the impact over the Human-toHuman (H2H) devices and establishes priority amongst M2M devices through the use of classes. The results obtained through extensive simulations in Network Simulator (NS-3) show that the proposed approach can control the impact over H2H devices, establishes intra and inter-class priority for the devices, reduces the access delay and it is compatible with the LTE network standard.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2017

Publication date: April 23, 2017

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-546-3

Location: Venice, Italy

Dates: from April 23, 2017 to April 27, 2017

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