Abstract
Machine-to-Machine (M2M) communications play a significant role in the Internet of Things (IoT). Cooperation of machines in M2M communications can improve network performance when the quality of connections between sources and their destinations is poor. Careful selection of machines as relays can play an effective role in improving the quality of communication in dense networks. Furthermore, the possibility of simultaneous use of different Radio Frequency (RF) interfaces can increase the capacity of data transmission over the network. In this paper, two novel M2M relay selection algorithms are proposed namely Optimal Relay Selection Algorithm (ORSA) and Matching based Relay Selection Algorithm (MRSA). ORSA is a centralized algorithm that transforms the relay selection problem to a k-cardinality assignment problem that can be solved using the Hungarian algorithm. MRSA is a decentralized algorithm that leverages concepts from matching theory to provide a stable relay assignment. In both proposed algorithms, static RF interfaces setting is applied to enable the simultaneous use of different interfaces. It is shown that ORSA results are optimal and MRSA results are stable. The simulations compare the capacity of data transmission of proposed and baseline algorithms. The results show that when the number of channels is not restricted, MRSA is only about 3% lower than ORSA and its results are higher than direct transmission and random relay selection, about 56% and 117%, respectively.
Highlights
M ACHINE-to-Machine (M2M) communications is a notable part of the Internet of Things (IoT) [1]
SIMULATION RESULTS To evaluate the performance of the proposed relay selection algorithms, we simulate our algorithms in a square environment, 590 × 590 (m2)
We investigate the difference of four algorithms, Without any Relay Selection Algorithm (WRSA), Random Relay Selection Algorithm (RRSA), Optimal Relay Selection Algorithm (ORSA) and Matching based Relay Selection Algorithm (MRSA), assuming the number of the base station Long Term Evolution (LTE) channels is a large enough constant and it does not restrict source assignment to it, directly or by one hop
Summary
M ACHINE-to-Machine (M2M) communications is a notable part of the Internet of Things (IoT) [1]. The network condition parameters, such as SNR or Signal-to-Interferenceplus-Noise-Ratio (SINR), can be involved in selecting the appropriate relay [3], [23] This relay selection can be very important, especially when the direct link between a source and its destination (e.g. the base station) is weak [7], the network coverage needs to be extended [6], [24], and the transmission power should be reducesd for increasing life time of the machine [25], [26]. - In both of novel relay selection algorithms for M2M communications, the static parallel usage of different RF interfaces is considered This static RF interfaces setting can enable simultaneous transmission among machines and machines with the base station.
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