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A Design of D2D-Clustering Algorithm for Group D2D Communication

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Communications and Networking (ChinaCom 2019)

Abstract

Due to the characteristics of low latency and proximity discovery, D2D communication is considered to have an inherent advantage in supporting Internet-of-Vehicles (IoV) service. In this paper, considering that vehicular users can detect neighbor nodes in adjacent areas which are able to maintain high reliable communication with themselves, a novel design of D2D-Clustering algorithm is proposed in order to improve the QoS of users. The algorithm uses undirected graph to describe the neighborhood relationship between users. And the undirected graph is continuously simplified by multi-round traversal of vehicular users until user clustering is completed. Simulation results prove the validity of the proposed algorithm, pointing out that it helps reduce the energy consumption of the whole system.

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Acknowledgment

This work was supported by the Postgraduate Research & Practice Innovation Program of Jiangsu Province under grant number SJKY19_2285.

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Correspondence to Ruoqi Shi .

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Shi, R., Wang, B., Shi, F., Piao, D., Hu, J. (2020). A Design of D2D-Clustering Algorithm for Group D2D Communication. In: Gao, H., Feng, Z., Yu, J., Wu, J. (eds) Communications and Networking. ChinaCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-030-41114-5_27

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  • DOI: https://doi.org/10.1007/978-3-030-41114-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41113-8

  • Online ISBN: 978-3-030-41114-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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