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.
Highlights
Since graphic models can well model network problems, to solve the desired joint relay selection and dynamic Radio Frequency (RF) interface setting problem, which is formulated in equation (9), it can be expressed as a maximum weighted matching in a bipartite graph
We considered the possibility of using multiple RF interfaces between machines in some algorithms
WORK In this paper, we focus on providing a method for jointly dynamic M2M RF interface setting and relay selection simultaneously
Summary
A dynamic optimal M2M RF interface setting with relay selection is provided. A. MAIN CONTRIBUTIONS In this paper, a novel optimal M2M RF interface setting and relay selection algorithm is proposed. - This is an optimal algorithm for simultaneously M2M RF interface setting along with relay selection for M2M communication with multiple M2M RF interfaces by transforming this problem to a k-AP. - This proposed RF interface setting method for M2M communications is done dynamically according to the amount of source requests This proposed algorithm is suitable for situations where IoT applications with similar BW requests are running on network machines.
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