Intelligent station area recognition technology based on NB-IoT and SVM

Liu, Zhihong; Dai, Ziqi; Yu, Pengpeng; Jin, Qingchun; Du, Haibo; Chu, Zhaobi; Wu, Di

doi:10.1109/isie.2019.8781291

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…Liu et al [119] discuss ML and NB-IoT in Support Vector Machine (SVM). This research focuses on developing smart stations with the aim of recognition.…”

Section: Nb-iotmentioning

confidence: 99%

A Systematic Review of LPWAN and Short-Range Network using AI to Enhance Internet of Things

Widianto

Sinaga

Ginting

2022

Journal of Robotics and Control

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Artificial intelligence (AI) has recently been used frequently, especially concerning the Internet of Things (IoT). However, IoT devices cannot work alone, assisted by Low Power Wide Area Network (LPWAN) for long-distance communication and Short-Range Network for a short distance. However, few reviews about AI can help LPWAN and Short-Range Network. Therefore, the author took the opportunity to do this review. This study aims to review LPWAN and Short-Range Networks AI papers in systematically enhancing IoT performance. Reviews are also used to systematically maximize LPWAN systems and Short-Range networks to enhance IoT quality and discuss results that can be applied to a specific scope. The author utilizes selected reporting items for systematic review and meta-analysis (PRISMA). The authors conducted a systematic review of all study results in support of the authors' objectives. Also, the authors identify development and related study opportunities. The author found 79 suitable papers in this systematic review, so a discussion of the presented papers was carried out. Several technologies are widely used, such as LPWAN in general, with several papers originating from China. Many reports from conferences last year and papers related to this matter were from 2020-2021. The study is expected to inspire experimental studies in finding relevant scientific papers and become another review.

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“…Liu et al [119] discuss ML and NB-IoT in Support Vector Machine (SVM). This research focuses on developing smart stations with the aim of recognition.…”

Section: Nb-iotmentioning

confidence: 99%

A Systematic Review of LPWAN and Short-Range Network using AI to Enhance Internet of Things

Widianto

Sinaga

Ginting

2022

Journal of Robotics and Control

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“…One study [24] used machine learning techniques that can be applied for the automation of network functions in 5G network slicing. The intelligent station recognition scheme with support vector machines (SVMs) has been proposed to achieve the fine management of stations [25]. A scheduler framework using reinforcement learning has been proposed [26]; the appropriate scheduling strategy is able to maximize user satisfaction, measured in terms of the distinct quality of the service requirements.…”

Section: Introductionmentioning

confidence: 99%

Repetition with Learning Approaches in Massive Machine Type Communications

Chen

Chen³

et al. 2022

Electronics

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In the 5G massive machine type communication (mMTC) scenario, user equipment with poor signal quality requires numerous repetitions to compensate for the additional signal attenuation. However, an excessive number of repetitions consumes additional wireless resources, decreasing the transmission rate, and increasing the energy consumption. An insufficient number of repetitions prevents the successful deciphering of the data by the receivers, leading to a high bit error rate. The present study developed adaptive repetition approaches with the k-nearest neighbor (KNN) and support vector machine (SVM) to substantially increase network transmission efficacy for the enhanced machine type communication (eMTC) system in the 5G mMTC scenario. The simulation results showed that the proposed repetition with the learning approach effectively improved the probability of successful transmission, the resource utilization, the average number of repetitions, and the average energy consumption. It is therefore more suitable for the eMTC system in the mMTC scenario than the common lookup table.

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“…There are various D2D communication topologies based on specific link establishments [5,6]. At present, 5G applications have been introduced in various fields, such as energy [7][8][9], intelligent station area recognition technology [10], smart car parking system [11], healthcare [12,13], etc.…”

Section: Introductionmentioning

confidence: 99%

An Anonymous Key Distribution Scheme for Group Healthcare Services in 5G-Enabled Multi-Server Environments

Hsu

2021

IEEE Access

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Fifth generation (5G) mobile technology enables a new kind of network that provides high peak data rates, ultra-low latency communication and high user density. Electronic healthcare (e-health) allows the data to be stored and shared in a highly efficient and flexible manner. Group e-health services help in improving long-term results of the treatments due to its collaborative characteristic. The services including real-time remote patient monitoring and transmission of large health data files can be facilitated by e-health systems enabled with the 5G network. Since the communication channel is open, security and privacy in the system should be taken into account. Our work proposes a key distribution scheme for group healthcare services in 5G network environments. We construct various healthcare domains and apply the proposed scheme to the group services. The paper also introduces Single Sign-On (SSO), a cost-efficient solution, for multi-server architecture of the constructed system. Security and privacy of the scheme are enforced by a three-factor authentication mechanism (integrating smart card, password and biometrics) and strong user anonymity property. We provide security proof of the proposed scheme using various well-known tools including RoR model, BAN logic and AVISPA simulation. Results of various performance comparisons indicate that our scheme provides most functions and bears rational costs, compared with its related works.

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Intelligent station area recognition technology based on NB-IoT and SVM

Cited by 6 publications

References 13 publications

A Systematic Review of LPWAN and Short-Range Network using AI to Enhance Internet of Things

A Systematic Review of LPWAN and Short-Range Network using AI to Enhance Internet of Things

Repetition with Learning Approaches in Massive Machine Type Communications

An Anonymous Key Distribution Scheme for Group Healthcare Services in 5G-Enabled Multi-Server Environments

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