A Generalized Framework for Joint Dynamic Optimal RF Interface Setting and Next-Hop Selection in IoT Networks With Similar Requests

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. For efficient use of these equipment and data rate maximization in networks with multiple BSs and sources with similar requests, we propose a generalized framework. This framework solves the joint dynamic optimal RF interface setting and next-hop selection problem, by transforming this problem into a new optimization problem that can be solved by the Hungarian algorithm. Simulation results show that using the proposed framework, the average data rate of sources increases up to 117%.