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Social Trusted D2D Seed Node Cluster Generation Strategy

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Abstract

In this paper, we propose a Device-to-Device (D2D) seed node cluster generation strategy based on coalitional game in social trusted D2D communication system. First, in the premise that the D2D seed node not harm the interests of other nodes and the cooperative power cost considered, a simple distributed algorithm is adopted to form independent and disjoint coalitions to maximize the throughput of the seed node cluster. Then the social trusted framework is introduced to make the segmentation of coalitions effectively meet the requirements of social security. The simulation results show that compared with the node cluster of the traditional cellular network and non-coalitional game, the system throughput of which is maintained at a higher level with social security ensured as well.

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Acknowledgements

Foundation Items: The National Natural Science Foundation of China for Youth (61201160, 61602263); The Natural Science Foundation of Jiangsu Province (BK20131377, BK20151507, BK20160916); The Natural science fund for colleges and universities in Jiangsu Province under Grants (16KJB510034); The six talent peaks project in Jiangsu Province (XYDXXJS-044); A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (yx002001); The Jiangsu Overseas Research and Training Program for University Prominent Young and Middle-aged Teachers and Presidents; Sponsored by NUPTSF (Grant Nos. NY212012, NY214065, NY216020); National Natural Science Foundation of China under grant number (61872186).

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Correspondence to Weifeng Lu .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Lu, W., Ren, X., Xu, J., Chen, S., Yang, L., Xu, J. (2019). Social Trusted D2D Seed Node Cluster Generation Strategy. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-030-19156-6_29

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  • DOI: https://doi.org/10.1007/978-3-030-19156-6_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19155-9

  • Online ISBN: 978-3-030-19156-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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