车联网中一种有效的资源共享方法
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摘要
针对车联网的资源共享问题进行研究,提出一种有效的资源共享方法 ERS。ERS的目标是提高资源共享的成功率、减小资源共享的延迟和通信代价,以及提高发送效率。为了实现这些目标,ERS设计了查询、回复、资源的替换、收到资源的告知四个策略。基于真实的车辆行驶数据进行了仿真实验,仿真实验结果表明,相比其他两种方法,ERS实现较高的资源共享成功率、较低的延迟及通信代价和较高的发送效率,因此是车联网中一种有效的资源共享方法。
This paper investigated the problem of resource sharing in Internet of vehicles,and proposed an efficient resource sharing method called ERS. The goal of ERS was to improve the successful ratio of resource sharing,to reduce the latency of resource sharing and communication cost,and to improve the transmission efficiency. In order to achieve these goals,ERS designed four strategies,including query strategy,reply strategy,resource replacement strategy,and acknowledgement strategy.This paper conducted the simulation experiment based on the real traces of vehicles. Performance results demonstrate that compared with the other two methods,ERS can achieve higher successful ratio of resource sharing,lower latency,lower communication cost,and higher transmission efficiency. Therefore,ERS is an efficient resource sharing method in Internet of vehicles.
This paper investigated the problem of resource sharing in Internet of vehicles,and proposed an efficient resource sharing method called ERS. The goal of ERS was to improve the successful ratio of resource sharing,to reduce the latency of resource sharing and communication cost,and to improve the transmission efficiency. In order to achieve these goals,ERS designed four strategies,including query strategy,reply strategy,resource replacement strategy,and acknowledgement strategy.This paper conducted the simulation experiment based on the real traces of vehicles. Performance results demonstrate that compared with the other two methods,ERS can achieve higher successful ratio of resource sharing,lower latency,lower communication cost,and higher transmission efficiency. Therefore,ERS is an efficient resource sharing method in Internet of vehicles.
引文
[1]朱红梅.车联网:移动互联网催生的下一个热点[J].通信世界,2015(9):22.(Zhu Hongmei. Internet of vehicles:the next hot point of mobile Internet[J]. Communications World,2015(9):22.)
[2]叶纯敏.车联网:移动互联网的新入口[J].金融科技时代,2014(6):22-26.(Ye Chunmin. Internet of vehicles:a new portal of mobile Internet[J]. Financial Technology Time,2014(6):22-26.)
[3]徐吉兴,李建波,由磊,等.一种基于移动方向的容延迟网络受控传染路由算法[J].小型微型计算机系统,2015,36(1):60-66.(Xu Jixing,Li Jianbo,You Lei,et al. Moving direction based controlled epidemic routing algorithm for delay tolerant networks[J].Journal of Chinese Computer Systems,2015,36(1):60-66.)
[4]奎丽萍,罗桂兰,张梅.基于倍数转发机制的车辆容迟网络路由协议的研究[J].大理大学学报,2017,2(6):1-7.(Kui Liping,Luo Guilan,Zhang Mei. Research on the vehicle DTNs routing protocol based on multiple forwarding mechanism[J]. Journal of Dali University,2017,2(6):1-7.)
[5]张敏.机会网络在矿井安全监测中的应用研究[D].徐州:中国矿业大学,2016.(Zhang Min. Research on opportunistic network in mine safety monitoring[D]. Xuzhou:China University of Mining and Technology,2016.)
[6] Liu Cong,Wu Jie. An optimal probabilistic forwarding protocol in delay tolerant networks[C]//Proc of ACM International Symposium on Mobile Ad hoc Networking and Computing. New Orleans:ACM MOBIHOC,2009:105-114.
[7] Zhang Yang,Zhao Jing,Cao Guohong. Roadcast:a popularity aware content sharing scheme in VANETs[C]//Proc of IEEE International Conference on Distributed Computing Systems. Piscataway,NJ:IEEE Press,2009:223-230.
[8]刘帅.基于时间选举的无线传感器网络洪泛算法研究[D].哈尔滨:哈尔滨工业大学,2016.(Liu Shuai. Research on timebased electoral flooding in wireless sensor network[D]. Harbin:Harbin Institute of Technology,2016.)
[9] Spyropoulos T,Psounis K,Raghavendra C. Single-copy routing in intermittently connected mobile networks[C]//Proc of IEEE International Conference on Sensing,Communication,and Networking. Santa Clara:IEEE SECON,2004:235-244.
[10]Jeong J,Guo Shuo,Gu Yu,et al. TBD:trajectory-based data forwarding for light-traffic vehicular networks[C]//Proc of IEEE International Conference on Distributed Computing Systems. Piscataway,NJ:IEEE Press,2009:231-238.
[11]Jeong J,Guo Shuo,Gu Yu,et al. TSF:trajectory-based statistical forwarding for infrastructure-to-vehicle data delivery in vehicular networks[C]//Proc of IEEE International Conference on Distributed Computing Systems. Piscataway,NJ:IEEE Press,2010:557-566.
[12]谢鲲,施文.一种隐私保护的可逆布鲁姆过滤器[J].计算机工程与科学,2017,39(6):1104-1111.(Xie Kun,Shi Wen.PPIBF:a privacy preservation invertible Bloom filter[J]. Computer Engineering and Science,2017,39(6):1104-1111.)
[13]李鲲鹏,兰巨龙,李印海.基于Bloom filter的高效正则表达式匹配算法[J].计算机应用研究,2012,29(3):950-954.(Li Kunpeng,Lan Julong,Li Yinhai. Efficient regular expression matching algorithm based on bloom filter[J]. Application Research of Computers,2012,29(3):950-954.)
[14]Qin Jun,Zhu Hongzhi,Zhang Wei,et al. POST:exploiting dynamic sociality for mobile advertising in vehicular networks[J]. IEEE Trans on Parallel and Distributed Systems,2016,27(6):1770-1782.
[15]Chang Shan,Zhu Hongzhi,Dong Mianxiong,et al. Private and flexible urban message delivery[J]. IEEE Trans on Vehicular Technology,2016,65(7):4900-4910.
[2]叶纯敏.车联网:移动互联网的新入口[J].金融科技时代,2014(6):22-26.(Ye Chunmin. Internet of vehicles:a new portal of mobile Internet[J]. Financial Technology Time,2014(6):22-26.)
[3]徐吉兴,李建波,由磊,等.一种基于移动方向的容延迟网络受控传染路由算法[J].小型微型计算机系统,2015,36(1):60-66.(Xu Jixing,Li Jianbo,You Lei,et al. Moving direction based controlled epidemic routing algorithm for delay tolerant networks[J].Journal of Chinese Computer Systems,2015,36(1):60-66.)
[4]奎丽萍,罗桂兰,张梅.基于倍数转发机制的车辆容迟网络路由协议的研究[J].大理大学学报,2017,2(6):1-7.(Kui Liping,Luo Guilan,Zhang Mei. Research on the vehicle DTNs routing protocol based on multiple forwarding mechanism[J]. Journal of Dali University,2017,2(6):1-7.)
[5]张敏.机会网络在矿井安全监测中的应用研究[D].徐州:中国矿业大学,2016.(Zhang Min. Research on opportunistic network in mine safety monitoring[D]. Xuzhou:China University of Mining and Technology,2016.)
[6] Liu Cong,Wu Jie. An optimal probabilistic forwarding protocol in delay tolerant networks[C]//Proc of ACM International Symposium on Mobile Ad hoc Networking and Computing. New Orleans:ACM MOBIHOC,2009:105-114.
[7] Zhang Yang,Zhao Jing,Cao Guohong. Roadcast:a popularity aware content sharing scheme in VANETs[C]//Proc of IEEE International Conference on Distributed Computing Systems. Piscataway,NJ:IEEE Press,2009:223-230.
[8]刘帅.基于时间选举的无线传感器网络洪泛算法研究[D].哈尔滨:哈尔滨工业大学,2016.(Liu Shuai. Research on timebased electoral flooding in wireless sensor network[D]. Harbin:Harbin Institute of Technology,2016.)
[9] Spyropoulos T,Psounis K,Raghavendra C. Single-copy routing in intermittently connected mobile networks[C]//Proc of IEEE International Conference on Sensing,Communication,and Networking. Santa Clara:IEEE SECON,2004:235-244.
[10]Jeong J,Guo Shuo,Gu Yu,et al. TBD:trajectory-based data forwarding for light-traffic vehicular networks[C]//Proc of IEEE International Conference on Distributed Computing Systems. Piscataway,NJ:IEEE Press,2009:231-238.
[11]Jeong J,Guo Shuo,Gu Yu,et al. TSF:trajectory-based statistical forwarding for infrastructure-to-vehicle data delivery in vehicular networks[C]//Proc of IEEE International Conference on Distributed Computing Systems. Piscataway,NJ:IEEE Press,2010:557-566.
[12]谢鲲,施文.一种隐私保护的可逆布鲁姆过滤器[J].计算机工程与科学,2017,39(6):1104-1111.(Xie Kun,Shi Wen.PPIBF:a privacy preservation invertible Bloom filter[J]. Computer Engineering and Science,2017,39(6):1104-1111.)
[13]李鲲鹏,兰巨龙,李印海.基于Bloom filter的高效正则表达式匹配算法[J].计算机应用研究,2012,29(3):950-954.(Li Kunpeng,Lan Julong,Li Yinhai. Efficient regular expression matching algorithm based on bloom filter[J]. Application Research of Computers,2012,29(3):950-954.)
[14]Qin Jun,Zhu Hongzhi,Zhang Wei,et al. POST:exploiting dynamic sociality for mobile advertising in vehicular networks[J]. IEEE Trans on Parallel and Distributed Systems,2016,27(6):1770-1782.
[15]Chang Shan,Zhu Hongzhi,Dong Mianxiong,et al. Private and flexible urban message delivery[J]. IEEE Trans on Vehicular Technology,2016,65(7):4900-4910.