A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing
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ORIGINAL ARTICLE
A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing Sa Math 1 & Prohim Tam 1 & Ahyoung Lee 2 & Seokhoon Kim 3 Received: 31 May 2020 / Accepted: 24 August 2020 # Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract The convergence of mobile edge computing (MEC) to the current Internet of Things (IoT) environment enables a great opportunity to enhance massive IoT data transmission. In the narrowband Internet of Things (NB-IoT), the huge number of IoT devices sends the information to the remote network. Simultaneously, the massive IoT devices from the heterogeneous locations access to the radio remote head (RRH) resources to communicate with the remote servers (e.g., mobile cloud computing), while there are limited resources in NB-IoT environments. Therefore, many IoT traffic may be discarded and may have too long queue times for each traffic where it can cause the battery life reduction of the IoT devices. To cope with the mentioned issues, this paper proposed a novel and efficient IoT data transmission scheme based on dynamic resource sharing of RRHs called efficient dynamic resource sharing scheme (E-DRSS). The proposed E-DRSS computes the heterogeneous IoT device with different resources into new groups, and then each group of IoT devices is selected for accessing its appropriate RRH. The evaluation of performance shows that the proposed scheme enhances quality of service (QoS) outperform on the current IoT scheme in terms of the jitters, end-to-end (E2E) latency, throughputs, and number of packets drop during transmission. Therefore, the proposed scheme is suitable to handle more IoT devices simultaneously and increase the communication reliability. Keywords Internet of Things . Mobile edge computing . Convergence computing . IoT data transmission
1 Introduction A novel mobile edge computing (MEC) paradigm which has been migrated from mobile cloud computing (MCC) to locate in the Ahyoung Lee and Seokhoon Kim contributed equally to this work. * Seokhoon Kim [email protected] Sa Math [email protected] Prohim Tam [email protected] Ahyoung Lee [email protected] 1
Department of Software Convergence, Soonchunhyang University, Asan-si, Chungcheongnam-do 31538, Republic of Korea
2
Department of Computer Science, Kennesaw State University, Marietta, GA 30060, USA
3
Department of Computer Software Engineering, Soonchunhyang University, Asan-si, Chungcheongnam-do 31538, Republic of Korea
area of edge networking can support local communication services in 5th generation (5G) communication [1, 2]. In terms of 5G perspective, MEC was declared to enable short distance communication, reduce the communication overheads, such as end-to-end (E2E) latency, and increase throughputs. MEC has become a leading computing paradigm for Internet of Things (IoT) and Heterogeneous Internet of Things (HetIoT) applications. Narrowband IoT (NB-IoT) is a part of released 13 of the 3rd Generation Partnership Project (3GPP) to enable the conver
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