Machine-to-Machine (M2M) communication is one of the main communications in the Internet of Things (IoT). How to send data in these high-density communications using relay selection can help better performance of this type of communications in various applications. In addition, the possibility of simultaneous use of different Radio Frequency (RF) interfaces helps to make better use of the network radio frequencies. Therefore, in this work, we try to further use of machine communication equipment and improve the average data rate of networks in different applications such as the Internet of Things, which have different bandwidth requirements, by providing an optimization algorithm for relay selection as well as the simultaneous and dynamic multiple M2M RF interfaces setting that called Dynamic Optimal Relay Selection and RF interfaces Setting Algorithm (DORSA). The simulation results show that the average DORSA\_W-B-Z data rate is improved by 0.8 to 10% compared to the studied algorithms such as direct transmission as well as relay selection algorithms with static RF interface setting.
翻译:M2M(M2M)通信是Things Internet(IoT)的主要通信之一。如何使用中继选择发送这些高密度通信的数据,可以帮助改进各种应用中这类通信的性能。此外,同时使用不同无线电频率接口的可能性有助于更好地利用网络无线电频率。因此,在这项工作中,我们试图进一步使用机器通信设备,提高不同应用中网络的平均数据率,例如具有不同带宽要求的Thing Internet(IoT),为中继选择提供优化算法,以及同时和动态的多M2M2M RF界面设置,称为动态最佳中继选择和RF界面设置 Algorithm(DORSA)。模拟结果表明,平均DORSA ⁇ W-B-Z数据率比研究的算法提高0.8%至10%,例如直接传输和具有静态RF接口设置的中继选择算法。