Authors:
Abel Rodriguez Medel
and
Jose M. Camara Brito
Affiliation:
National Institute of Telecommunications INATEL, Santa Rita do Sapucai, MG, Brazil
Keyword(s):
IoT, mMTC, D2D.
Abstract:
The exponential growth of the Internet of Things (IoT) devices bring the necessity to support massive Machine Type Communications (mMTC) for the Next-Generation networks. One of the enablers for mMTC is the Device-to-Device (D2D) communications. Since it is not possible to reduce the number of devices in massive communications, all the effort for collision and power consumption reduction should be applied to the discovery algorithm of the D2D technologies. The principal D2D technologies are Wi-Fi Direct, Classic Bluetooth, and Bluetooth Low Energy (BLE). However, most of these technologies were not originally designed to support massive communications. The main goal of this work is to assess Wi-Fi Direct, Classic Bluetooth, and BLE performances in terms of number of collisions, energy consumption, and discovery latency, in order to check out the more suitable technology for mMTC scenarios. The results show that Classic Bluetooth is faster than Wi-Fi Direct during the devices’ discove
ry, accelerating network access for the devices in massive communications. Besides, BLE incurs fewer collisions, less energy consumption, and less time for devices’ discovery than Classic Bluetooth. Thus, BLE is the more suitable D2D technology—out of the three analyzed in this work—to enable mMTC.
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