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基于拍卖的混合卫星-地面传感器网络中重叠频谱共享的二级中继选择。

Auction-Based Secondary Relay Selection on Overlay Spectrum Sharing in Hybrid Satellite-Terrestrial Sensor Networks.

机构信息

College of Communications Engineering, Army Engineering University, Nanjing 210007, China.

The Sixty-Third Research Institute, National University of Defense Technology, Nanjing 210007, China.

出版信息

Sensors (Basel). 2019 Nov 19;19(22):5039. doi: 10.3390/s19225039.

DOI:10.3390/s19225039
PMID:31752294
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6891412/
Abstract

In this paper, we investigate the auction-based secondary relay selection on overlay spectrum sharing in hybrid satellite-terrestrial sensor networks (HSTSNs), where both the decode-and-forward (DF) and amplify-and-forward (AF) relay protocols are analyzed based on time division multiple access (TDMA). As both the primary and secondary networks are rational, honest but with incomplete network information, they prefer to obtain maximum possibility payoffs by the cooperation between the primary and secondary networks, and the competition among secondary networks. Hence, Vickery auction is introduced to achieve the effective and efficient secondary relay selection by distinct sub-time slot allocation for one shot in terms of a distributed manner. Finally, numerical simulations are provided to validate the effectiveness of the auction mechanism on cooperative spectrum sharing in HSTSNs for secondary relay selection. Besides, the effect of key factors on the performance of the auction mechanism are analyzed in details.

摘要

在本文中,我们研究了混合卫星-地面传感器网络(HSTSNs)中基于拍卖的重叠频谱共享的辅助中继选择,其中基于时分多址(TDMA)分析了解码转发(DF)和放大转发(AF)中继协议。由于主网络和次网络都是理性的、诚实的,但网络信息不完整,它们更喜欢通过主网络和次网络之间的合作,以及次网络之间的竞争来获得最大的可能性收益。因此,引入了维克里拍卖机制,通过分布式方式在一次单拍中为每个子时隙分配来实现有效的和高效的次中继选择。最后,提供了数值模拟结果来验证拍卖机制在 HSTSNs 中用于次中继选择的合作频谱共享中的有效性。此外,详细分析了关键因素对拍卖机制性能的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/3f7b60474ba5/sensors-19-05039-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/de232e6033c3/sensors-19-05039-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/a29123dcb885/sensors-19-05039-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/7bacd4b278d6/sensors-19-05039-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/f18bfb128c50/sensors-19-05039-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/a578cf835c1b/sensors-19-05039-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/d4e0e500e293/sensors-19-05039-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/93638d00da02/sensors-19-05039-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/caff4a855b83/sensors-19-05039-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/62aa4a9b7c4a/sensors-19-05039-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/3f7b60474ba5/sensors-19-05039-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/de232e6033c3/sensors-19-05039-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/a29123dcb885/sensors-19-05039-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/7bacd4b278d6/sensors-19-05039-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/f18bfb128c50/sensors-19-05039-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/a578cf835c1b/sensors-19-05039-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/d4e0e500e293/sensors-19-05039-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/93638d00da02/sensors-19-05039-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/caff4a855b83/sensors-19-05039-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/62aa4a9b7c4a/sensors-19-05039-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29e2/6891412/3f7b60474ba5/sensors-19-05039-g010.jpg

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