An XGB-Based Reliable Transmission Method in the mMTC Scenarios | Zendy

Tongyi Zheng | Zendy; Lei Ning | Zendy; Qingsong Ye | Zendy; Fan Jin | Zendy

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An XGB-Based Reliable Transmission Method in the mMTC Scenarios

Author(s) -

Tongyi Zheng,

Lei Ning,

Qingsong Ye,

Fan Jin

Publication year - 2021

Publication title -

security and communication networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.446

H-Index - 43

eISSN - 1939-0114

pISSN - 1939-0122

DOI - 10.1155/2021/9929051

Subject(s) - computer science , retransmission , machine to machine , reliability (semiconductor) , computer network , application layer , transmission control protocol , wireless , transmission (telecommunications) , internet of things , the internet , protocol (science) , user datagram protocol , internet protocol , embedded system , telecommunications , network packet , operating system , power (physics) , physics , quantum mechanics , software deployment , medicine , alternative medicine , pathology

Massive machine-type communications (mMTCs) for Internet of things are being developed thanks to the fifth-generation (5G) wireless systems. Narrowband Internet of things (NB-IoT) is an important communication technology for machine-type communications. It supports many different protocols for communication. The reliability and performance of application layer communication protocols are greatly affected by the retransmission time-out (RTO) algorithm. In order to improve the reliability and performance of machine-type communications, this study proposes a novel RTO algorithm UDP-XGB based on the user datagram protocol (UDP) and NB-IoT. It combines traditional algorithms with machine learning. The simulation results show that real round-trip time (RTT) is close to the RTO, which is obtained by this algorithm, and the reliability and performance of machine-type communications have improved.

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