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Wireless Communications and Mobile Computing
Volume 2017, Article ID 7865342, 7 pages
https://doi.org/10.1155/2017/7865342
Research Article

Efficient Data Forwarding for Machine Type Communications in Internet of Things Networks

1Department of IT Engineering, Sookmyung Women’s University, 100 Cheongpa-ro 47-gil, Yongsan-gu, Seoul 04310, Republic of Korea
2Department of Information Security, University of Suwon, San 2-2, Wau-ri, Bongdam-eup, Hwaseong, Gyeonggi-do 445-743, Republic of Korea

Correspondence should be addressed to Jaesung Park; rk.ca.nowus@krapgnuseaj

Received 19 September 2017; Accepted 4 December 2017; Published 24 December 2017

Academic Editor: Dongkyun Kim

Copyright © 2017 Yujin Lim and Jaesung Park. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The MTC (Machine Type Communications) system is one of the most promising technologies to provide IoT (Internet of Things) applications. The MTC system suffers from congestion due to limited data transmission capacity and burst traffic. The congestion disturbs data delivery, results in an increase of energy consumption due to data retransmission, and finally poses a threat to the providers of IoT applications. In this paper, we focus on the congestion problem and present an efficient data forwarding mechanism to regulate the burst channel access from a large number of MTC devices. To regulate the communication channel access from the devices, we predict the number of devices by separating traffic load into the prediction of the number of devices that newly attempt to have access and the prediction of the number of devices that retry to access the channel. Through simulations, we show that our mechanism improves access success probability and reduces collision probability and access delay.