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A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing

Authors
Math, SaTam, ProhimLee, AhyoungKim, Seokhoon
Issue Date
2021
Publisher
Springer Verlag
Keywords
Internet of Things; Mobile edge computing; Convergence computing; IoT data transmission
Citation
Personal and Ubiquitous Computing
Journal Title
Personal and Ubiquitous Computing
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/2220
DOI
10.1007/s00779-020-01449-5
ISSN
1617-4909
1617-4917
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.
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