Emerging Technologies for 5G-IoV Networks: Applications, Trends and Opportunities

Duan, Wei; Gu, Jimin; Wen, Miaowen; Zhang, Guoan; Ji, Yancheng; Mumtaz, Shahid

doi:10.1109/mnet.001.1900659

Cited by 241 publications

(116 citation statements)

References 13 publications

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“…52 More importantly, the blockchain technology is only in the development stage, and there is still a big gap between the wide applications. 53 We will continue to pay attention to the development of the blockchain and propose a more effective privacy protection mechanism.…”

Section: Discussionmentioning

confidence: 99%

A two‐stage privacy protection mechanism based on blockchain in mobile crowdsourcing

et al. 2021

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With the rise of the Internet of Things (IoT) and fifth‐generation (5G) networks, which have led to a surge in data processing and increased data transfer time, traditional cloud computing could no longer meet the needs of workers, so edge computing has emerged. Edge computing could meet the demand for low time consumption by processing data at the edge of the network and then transmitting it to a third‐party platform. However, since the credibility of the third‐party platform is unknown which can easily leak the privacy of workers. For the transparent mechanism of blockchain, a two‐stage privacy protection mechanism based on blockchain is proposed to solve this problem. In the first stage, this paper proposes a double disturbance localized differential privacy (DDLDP) algorithm to disturb the location information of workers. In the second stage, all the sensing data are uploaded to the blockchain through edge nodes, processed by the edge cloud, and fed back to the requester. Blockchain technology not only guarantees the integrity of sensing data, but also prevents the possibility of third‐party platforms from leaking workers' privacy. Through extensive performance evaluation and comparative experiments on real data sets, the DDLDP algorithm could effectively protect the privacy of workers and has higher service quality and data availability.

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Section: Discussionmentioning

confidence: 99%

A two‐stage privacy protection mechanism based on blockchain in mobile crowdsourcing

et al. 2021

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“…It is necessary to increase the number of data sets and try to combine other neural network structures to explore the arrhythmia diagnosis algorithm. Note that we will consider our further work into the device-todevice (D2D) and index modulation systems [38][39][40], which might automatically and adaptively monitor the arrhythmia situation.…”

Section: Discussionmentioning

confidence: 99%

Real Time Arrhythmia Monitoring and Classification Based on Edge Computing and DNN

Liu

Shao

Zheng

et al. 2021

Wireless Communications and Mobile Computing

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In this paper, we investigate how to incorporate intelligence into the human-centric IoT edges to detect arrhythmia, a heart condition often associated with morbidity and even mortality. We propose a classification algorithm based on the intrapatient convolutional neural network model and the interpatient attention residual network model to automatically identify the type of arrhythmia in the edges. As the imbalance categories in the MIT-BIH arrhythmia database which needs to be used in the algorithm, we slice and overlap the original ECG signal to homogenize the heartbeat sets of different types, and then the preprocessed data was used to train the two proposed network models; the results reached an overall accuracy rate of 99.03% and an F1 value of 0.87, respectively. The proposed algorithm model can be used as a real-time diagnostic tool for the remote E-health system in next generation wireless communication networks.

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“…Index modulation (IM) technique utilizes index(es) of transmit antennas, receive antennas, time slots, subcarriers, linear block codes, or other media to transmit additional information without consuming any additional resource [1]- [3]. Due to the good balance between the spectral efficiency (SE) and energy efficiency (EE), IM technique is considered as a promising candidate for the future sixth generation (6G) networks [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Generalized Quadrature Spatial Modulation and its Application to Vehicular Networks With NOMA

Dang

Yan

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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Quadrature spatial modulation (QSM) is recently proposed to increase the spectral efficiency (SE) of SM, which extends the transmitted symbols into in-phase and quadrature domains. In this paper, we propose a generalized QSM (GQSM) scheme to further increase the SE of QSM by activating more than one transmit antenna in in-phase or quadrature domain. A low-complexity detection scheme for GQSM is provided to mitigate the detection burden of the optimal maximum-likelihood (ML) detection method. An upper bounded bit error rate is analyzed to discover the system performance of GQSM. Moreover, by collaborating with the non-orthogonal multiple access (NOMA) technique, we investigate the practical application of GQSM to cooperative vehicular networks and propose the cooperative GQSM with OMA (C-OMA-GQSM) and cooperative GQSM with NOMA (C-NOMA-GQSM) schemes. Computer simulation results verify the reliability of the proposed low-complexity detection as well as the theoretical analysis, and show that GQSM outperforms QSM in the entire SNR region. The superior BER performance of the proposed C-NOMA-GQSM scheme make it a promising modulation candidate for next generation vehicular networks.

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Emerging Technologies for 5G-IoV Networks: Applications, Trends and Opportunities

Cited by 241 publications

References 13 publications

A two‐stage privacy protection mechanism based on blockchain in mobile crowdsourcing

A two‐stage privacy protection mechanism based on blockchain in mobile crowdsourcing

Real Time Arrhythmia Monitoring and Classification Based on Edge Computing and DNN

Generalized Quadrature Spatial Modulation and its Application to Vehicular Networks With NOMA

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