计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 345-348.doi: 10.11896/jsjkx.200500079

• 计算机网络 • 上一篇    下一篇

基于粒子群算法的D2D内容边缘缓存架构策略

孟利民1, 王锟1, 郑增乾1, 蒋维2   

  1. 1 浙江工业大学信息工程学院 杭州 310000
    2 浙江树人大学信息科技学院 杭州 310000
  • 出版日期:2020-11-15 发布日期:2020-11-17
  • 通讯作者: 王锟(2111803016@zjut.edu.cn)
  • 作者简介:mlm@zjut.edu.cn
  • 基金资助:
    国家自然科学基金(61871349);浙江省自然科学基金(LQ19F010013,LY18F010024);2019年金华市科技计划项目(公益类)(2019-4-176)

Architecture Strategy of D2D Content Edge Cache Based on Particle Swarm Optimization

MENG Li-min1, WANG Kun1 , ZHENG Zeng-qian1, JIANG Wei2   

  1. 1 College of Information Engineering,Zhejiang University of Technology,Hangzhou 310000,China
    2 College of Information Science and Technology,Zhejiang Shuren University,Hangzhou 310000,China
  • Online:2020-11-15 Published:2020-11-17
  • About author:MENG Li-min,born in 1963,Ph.D,professor,Ph.D supervisor,is a member of China Computer Federation.Her main research interests include wireless communication and network,streaming mediatransmission and IoT communications.
    WANG Kun,born in 1995,postgra-duate.His main research interests include D2D edge caching and real-time streaming media communication.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61871349),Natural Science Foundation of Zhejiang Pvovince,China(LQ19F010013,LY18F010024) and Science and Technology Program of Jinhua in 2019(Public Welfare)(2019-4-176).

摘要: 在通信网络基础设施瘫痪的极端情况下,如何保证救援终端设备网络的互联互通以及高效集中控制,解决指挥现场各类信息汇聚、共享是关键问题。为了延续信息传输,减小中断概率,研究边缘缓存辅助的终端直通(device-to-device,D2D)通信覆盖网,通过内容预置的方式,建立D2D通信边缘缓存架构,以缓存指数最大化为优化方式,通过检测终端节点的缓存架构构建D2D覆盖网虚拟逻辑映射通道,提出了应急条件下基于自适应惯性权重二进制粒子群算法的单兵终端设备D2D内容边缘缓存架构策略。实验结果表明,该算法边缘缓存预置策略具有较高的缓存指数且有利于信息更好的传输。

关键词: D2D通信, 边缘缓存, 缓存指数, 粒子群算法, 自适应

Abstract: In the extreme case that the communication network infrastructure is paralyzed,how to ensure the interconnection and efficient centralized control of the rescue terminal equipment network,and how to solve the problem of gathering and sharing all kinds of information on the command site are the key problems.In order to continue the information transmission and reduce the probability of interruption,this paper studies the edge cache-assisted device-to-device (D2D) communication overlay network.Method,establish a D2D communication edge cache architecture,optimize the cache index,and construct a virtual logical mapping channel of the D2D overlay network by detecting the cache architecture of the terminal nodes.A single particle based on adaptive inertial weight binary particle swarm algorithm under emergency conditions Strategy of D2D content edge cache architecture for soldier terminal equipment.Experimental results show that the algorithm's edge cache preset strategy has a higher cache index and is conducive to better information transmission.

Key words: Cache index, D2D communication, Edge cache, Particle swarm algorithm, Self-adaption

中图分类号: 

  • TP301
[1] ASADI A,MANCUSO V.Energy efficient opportunistic uplink packet forwarding in hybrid wireless networks[C]//Proceedings of ACM International Conference on Future Energy Systems.Berkeley,CA,USA,2013:261-262.
[2] ASADI A,MANCUSO V.On the compound impact of opportunistic scheduling an D2D communications in cellula networks[C]//Proceedings of ACM International Conference on Mode-ling,Analysis & Simulation of Wireless and Mobile Systems.Berkeley,CA,USA,2013:279-288.
[3] ASADI A,MANCUSO V.WiFi Direct and LTE D2D in action[C]//Proceedings of the 2013 IFIP Wireless Days (WD).Valencia,2013:1-8.
[4] GOLREZAEI N,MOLISCH A F,DIMAKIS A G.Base-station assisted device-to-device communications for high-throughput wireless video networks[C]//Proceedings of the 2012 IEEE International Conference on Communications (ICC).Ottawa,ON,2012:7077-7081.
[5] GOLREZAEI N,DIMAKIS A G,MOLISCH A F.Device-to-device collaboration through distributed storage[C]//Proceedings of the 2012 IEEE Global Communications Conference (GLOBECOM).Anaheim,CA,2012:2397-2402.
[6] RAO J,FENG H,YANG C C,et al.Optimal caching placement for D2D assisted wireless caching networks[C]//Proceedings of the 2016 IEEE International Conference on Communications (ICC).Kuala Lumpur,2016:1-6.
[7] KANG H J,PARK K Y,CHO K M,et al.Mobile caching policies for device-to-device content delivery networking[C]//Proceedings of the 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).Toronto,2014:299-304.
[8] LAN R N.Edge caching technology in terminal to cell system[D].Hangzhou:Zhejiang University,2016.
[9] BRESLAU L,PEI C,LI F,et al.Web caching and Zipf-like distributions:Evidence and implications[C]//Proceedings of the Eighteenth Annual Joint Conference of the IEEE Computer and Communication Societies.New York,USA,1999:126-134.
[10] BACCELLI F,BLASZCZYSZYN B.Stochastic geometry andwireless networks:Volume Π applications[J].Foundations and Trends in Networks,2010(4):1-132.
[11] WANG Y,QIU F Y,GUO H D.An adaptive inertial weighted binary particle swarm optimization algorithm with mutation operator [J].Journal of Computer Systems,2019,40(4):733-737.
[12] ZHAO J X,GAO Y L,CHEN Q L.A particle swarm optimization algorithm for solving nonlinear programming problems [J].Journal of ningxia university (natural science edition),2017,38(1):15-18,22.
[13] KONSTANTION S P,BALAJI P.Arandomized Web-cachereplacement scheme[C]//Proceedings of the Twentieth Annual Joint Conference of the IEEE Computer and Communications Society.Anchorage,AK,USA,2001:1407-1415.
[14] SONG X S,GENG Y T,MENG X B.Cache-enabled device to device networks with contention-based multimedia delivery[J].IEEE Access,2019,5:3228-3239.
[15] MALAK D,AL-SHALASH M.Device-to-Device content distribution:optimal caching strategies and performance bounds[C]//Proceedings of the 2015 IEEE International Conference on Communications Workshop.Piscataway,NJ,2015:664-66.
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