移动社交网络中的无线资源分配算法研究
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摘要
随着移动用户数量的不断增加以及移动网络规模的发展,移动社交网络越来越受到人们的青睐,在社交网络中,社交网络用户可以使用移动设备相互交换和共享内容,但如何在移动社交数据传输过程中根据用户的需求为其分配最佳的无线资源,并确保资源的安全性和保密性成为了一个新的挑战。研究移动社交网络中的无线资源分配问题,资源分配包含无线资源分配和保密性资源分配,提出一种基于梯度的迭代算法来求解社交用户所需要的最佳无线资源和保密性资源。仿真结果分析表明,根据所提算法可以得出在保密性资源能量效率方面比随机分配方案提高8%左右,同时在无线资源利用率方面也有显著提升。
Due to the increasing number of mobile users and the development of mobile network,mobile social network is getting more and more favor from people. In mobile social network,users can exchange and share contents mutually with their mobile devices. However,according to the requirements of users,it is a new challenge on how to allocate optimal wireless resources and ensure the security and confidentiality of resources when the mobile social data is transmitted. Therefore,this paper mainly discusses the problem of wireless resource allocation in the mobile social network. In the paper,the studied resources allocation includes the allocation of wireless resource and security resource. Finally,a gradient-based iterative algorithm is proposed to solve the optimal wireless resources and security resources needed by social users. The simulation results show that,compared with the random allocation scheme,the energy efficiency of security resource can be improved by about 8% with the algorithm proposed in this paper. Meanwhile,the proposed scheme has a significant improvement in wireless resource utilization rate.
Due to the increasing number of mobile users and the development of mobile network,mobile social network is getting more and more favor from people. In mobile social network,users can exchange and share contents mutually with their mobile devices. However,according to the requirements of users,it is a new challenge on how to allocate optimal wireless resources and ensure the security and confidentiality of resources when the mobile social data is transmitted. Therefore,this paper mainly discusses the problem of wireless resource allocation in the mobile social network. In the paper,the studied resources allocation includes the allocation of wireless resource and security resource. Finally,a gradient-based iterative algorithm is proposed to solve the optimal wireless resources and security resources needed by social users. The simulation results show that,compared with the random allocation scheme,the energy efficiency of security resource can be improved by about 8% with the algorithm proposed in this paper. Meanwhile,the proposed scheme has a significant improvement in wireless resource utilization rate.
引文
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[2]XIAO Liang,XIE Caixia,CHEN Tianhua,et al.A mobile offloading game against smart attacks[J].IEEE Access,2016(4):2281-2291.
[3]XIAO Liang,XU Dongjin,XIA Caixia,et al.Cloud storage defense against advanced persistent threats:A prospect theoretic study[J].IEEE Journal on Selected Areas in Communications,2017,35(3):534-544.
[4]HUI Yilong,SU Zhou,GUO Song.Utility based data computing scheme to provide sensing service in internet of things[J].IEEE Transactions on Emerging Topics in Computing,2017,PP(99):1-1
[5]SU Zhou,XU Qichao,QI Qifan.Big data in mobile social networks:A Qo E-oriented framework[J].IEEE Network,2016,30(1):52-57.
[6]ZHANG Kuan,YANG Kan,LIANG Xiaohui,et al.Security and privacy for mobile healthcare networks:from a quality of protection perspective[J].IEEE Wireless Communications,2015,22(4):104-112.
[7]WANG Ding,CHENG Haibo,HE Debiao,et al.On the challenges in designing identity-based privacy-preserving authentication schemes for mobile devices[J].IEEE System Journal,2016,PP(99):1-10.
[8]SU Zhou,XU Qichao.Security-aware resource allocation for mobile social big data:A matching-coalitional game solution[J].IEEE Transactions on Big Data,2017,PP(99):1-1.
[9]YOUNIS Mohamed,FARRAG Osama,D’AMICO William.Packet size optimization for increased throughput in multi-level security wireless networks[C]//IEEE MILCOM.Boston,MA,USA:IEEE Press,2009:1-7.
[10]HU Lin,WEN Hong,WU Bin,et al.Adaptive base station cooperation for physical layer security in two-cell wireless networks[J].IEEE Access,2016,4(99):5607-5623.
[11]XIE Renchao,YU F.richard,JI Hong,et al.Energy-efficient resource allocation for heterogeneous cognitive radio networks with femtocells[J].IEEE Transactions on Wireless Communications,2012,11(11):3910-3920.
[12]JING Wenpeng,LU Zhaoming,ZHANG Zhicai,et al.Energy-efficient power allocation with Qo S provisioning in OFDMA femtocell networks[C]//Wireless Communications and Networking Conference.Istanbul,Turkey:IEEE Press,2014:1473-1478.
[13]XIAO Liang,XIE Caixia,CHEN Tianhua,et al.A mobile offloading game against smart attacks[J].IEEE Access,2016(4):2281-2291.