D2D通信中基于社交属性的联合算法
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摘要
针对终端直通(Device-to-Device,D2D)技术安全性差和设备匹配成功率低的问题,提出一种结合社交属性的D2D通信设备匹配和模式选择联合算法。提出一种将文件进行碎片分割并通过多个用户进行传输的D2D通信机制,结合遗传算法和社交属性提出一种文件碎片拼接方案的选择算法。实验结果表明,该算法能有效提高D2D通信的安全性和高效性,更好地卸载基站的流量。
To solve the problem of poor security and low peer matching rate of D2D(Device-to-Device)technology,ajoint algorithm for D2D communication peer matching and mode selection based on social attributes was proposed.A D2D communication mechanism for fragmenting files and transmitting them through multiple users was proposed,and a file fragmentation scheme selection algorithm based on genetic algorithms and social attributes was proposed.The results show that the proposed algorithm can effectively improve the security and efficiency of D2D communication and better offload the traffic of the base station.
To solve the problem of poor security and low peer matching rate of D2D(Device-to-Device)technology,ajoint algorithm for D2D communication peer matching and mode selection based on social attributes was proposed.A D2D communication mechanism for fragmenting files and transmitting them through multiple users was proposed,and a file fragmentation scheme selection algorithm based on genetic algorithms and social attributes was proposed.The results show that the proposed algorithm can effectively improve the security and efficiency of D2D communication and better offload the traffic of the base station.
引文
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[7]Wang R,Yang H,Wang H,et al.Social overlapping community-aware neighbor discovery for D2Dcommunications[J].IEEE Wireless Communications,2016,23(4):28-34.
[8]WEN Wu,ZHENG Wenqian,CHEN Yongli.A clustering and forwarding strategy in D2Dcommunication based on social attributes[J].Application of Electronic Technique,2018(2):92-96(in Chinese).[文武,郑文倩,陈永丽.一种D2D通信中利用社交属性进行分组转发的策略[J].电子技术用,2018(2):92-96.]
[9]Hamdi M,Yuan D,Zaied M.GA-based scheme for fair joint channel allocation and power control for underlaying D2D multicast communications[C]//13th International Wireless Communications and Mobile Computing Conference.IEEE,2017:446-451.
[10]ZHANG Xinyuan,HU Xiaomin,LIN Ying.Comparisons of genetic algorithm and particle swarm optimization[J].Journal of Frontiers of Computer Science and Technology,2014,8(1):90-102(in Chinese).[张鑫源,胡晓敏,林盈.遗传算法和粒子群优化算法的性能对比分析[J].计算机科学与探索,2014,8(1):90-102.]
[11]Punia P,Jangra S.Need of optimizing for optimum solution for TSP by applying knowledge augmentation in genetic algorithm using OX,PMX,CX crossover operators[J].International Journal of Scientific Research and Education,2017,5(5):6382-6385.
[2]Asadi A,Mancuso V.WiFi direct and LTE D2Din action[C]//Wireless Days,IFIP.IEEE,2013:1-8.
[3]Li Y,Wu T,Hui P,et al.Social-aware D2D communications:Qualitative insights and quantitative analysis[J].IEEECommunications Magazine,2014,52(6):150-158.
[4]Hakola S,Chen T,Lehtomaki J,et al.Device-to-device(D2D)communication in cellular network-performance analysis of optimum and practical communication mode selection[C]//Wireless Communications and Networking Conference.IEEE,2010:1-6.
[5]Wu D,Zhou L,Cai Y.Social-aware rate based content sharing mode selection for D2D content sharing scenarios[J].IEEE Transactions on Multimedia,2017,19(11):2571-2582.
[6]Yang L,Wu D,Xu S,et al.Social-aware energy-efficient joint mode selection and link allocation in D2Dcommunications[C]//8th International Conference on Wireless Communications&Signal Processing.IEEE,2016:1-6.
[7]Wang R,Yang H,Wang H,et al.Social overlapping community-aware neighbor discovery for D2Dcommunications[J].IEEE Wireless Communications,2016,23(4):28-34.
[8]WEN Wu,ZHENG Wenqian,CHEN Yongli.A clustering and forwarding strategy in D2Dcommunication based on social attributes[J].Application of Electronic Technique,2018(2):92-96(in Chinese).[文武,郑文倩,陈永丽.一种D2D通信中利用社交属性进行分组转发的策略[J].电子技术用,2018(2):92-96.]
[9]Hamdi M,Yuan D,Zaied M.GA-based scheme for fair joint channel allocation and power control for underlaying D2D multicast communications[C]//13th International Wireless Communications and Mobile Computing Conference.IEEE,2017:446-451.
[10]ZHANG Xinyuan,HU Xiaomin,LIN Ying.Comparisons of genetic algorithm and particle swarm optimization[J].Journal of Frontiers of Computer Science and Technology,2014,8(1):90-102(in Chinese).[张鑫源,胡晓敏,林盈.遗传算法和粒子群优化算法的性能对比分析[J].计算机科学与探索,2014,8(1):90-102.]
[11]Punia P,Jangra S.Need of optimizing for optimum solution for TSP by applying knowledge augmentation in genetic algorithm using OX,PMX,CX crossover operators[J].International Journal of Scientific Research and Education,2017,5(5):6382-6385.