A New Dynamic Optimal M2M RF interface setting in Relay Selection Algorithm (DORSA) for IoT Applications

TL;DR

This paper introduces DORSA, a dynamic algorithm for relay selection and RF interface configuration in IoT M2M networks, significantly enhancing data rates by optimizing spectrum use and interface settings.

Contribution

The paper proposes a novel dynamic optimization algorithm, DORSA, for relay selection and RF interface configuration, improving network data rates in IoT applications.

Findings

DORSA improves average data rate by up to 10% over existing methods.

Dynamic RF interface setting enhances spectrum efficiency.

Simulation results validate the effectiveness of DORSA in IoT scenarios.

Abstract

Machine-to-Machine (M2M) communication is an important type of communication in the Internet-of-Things (IoT). How to send data in these high-density communications using relay selection can help improve the performance of this type of communication in various applications. In addition, the possibility of simultaneous use of different Radio Frequency (RF) interfaces helps to use the spectrum more efficiently. In this work, we try to further use machine communication RF equipment and improve the average data rate of networks in some applications such as the IoT, which have their own bandwidth requirements. Therefore, we provide an optimization algorithm for relay selection as well as the simultaneous and dynamic multiple M2M RF interface setting that is called Dynamic Optimal Relay Selection and RF interfaces Setting Algorithm (DORSA). The simulation results show that the average data rate of DORSA with three interfaces (DORSA_W-B-Z) can be improved up to 10% compared to the existing methods such as optimal direct transmission and relay selection algorithms with static RF interface setting.