Many applications which run on the Internet-of-Things machines require similar bandwidths. These machines are equipped with multiple Radio Frequency (RF) interfaces for machine-to-machine or machine-to-Base Station(BS) communications. Joint dynamic optimal RF interface setting and next-hop selection in data transmission can maximize the network data rate. For this purpose, we propose a generalized framework for simultaneous selection of these components according to the required bandwidth of machines. This framework is suitable for networks with multiple BSs and sources with similar bandwidth requests. Simulation results show that using the proposed framework, the average data rate of network sources increases up to 117%.

翻译：在互联网电话机上运行的许多应用程序都需要类似的带宽。 这些机器配备了机器到机器或机器到基地站(BS)通信的多个无线电频率接口。 联合动态最佳RF接口设置和数据传输的下一个机会选择可以最大限度地提高网络数据率。 为此,我们提议了一个通用框架,用于根据机器所需的带宽同时选择这些组件。 这个框架适用于具有多个BS和类似带宽请求的源的网络。 模拟结果表明,使用拟议的框架,网络源的平均数据率将增加到117%。