购买
下载掌阅APP,畅读海量书库
立即打开
畅读海量书库
扫码下载掌阅APP

参考文献

[1] 李凡,冯鹏飞,孙蕊,等. 智联网技术在林业信息化中的应用研究[J]. 物联网技术,2019, 9(06): 101-103.

[2] 钱志鸿,王义君. 面向物联网的无线传感器网络综述[J]. 电子与信息学报,2013, 35(01): 215-227.

[3] 刘强,崔莉,陈海明. 物联网关键技术与应用[J]. 计算机科学,2010, 37(06): 1-4, 10.

[4] 孙其博,刘杰,黎羴,等. 物联网:概念、架构与关键技术研究综述[J]. 北京邮电大学学报,2010, 33(03): 1-9.

[5] XU Y J, LIU X, CAO X, et al. Artificial Intelligence:A Powerful Paradigm for Scientific Research[J]. The Innovation 2021, 2(4), 100179.

[6] 艾瑞咨询. 中国智能物联网(AIoT)白皮书[R/OL]. http://report.iresearch.cn/wx/report.aspx?id=3529.

[7] 王飞跃,张俊. 智联网:概念、问题和平台[J]. 自动化学报,2017, 43(12): 2061-2070.

[8] 彭昭. 智联网·新思维:“智能+”时代的思维大爆发[M]. 北京:电子工业出版社,2019.

[9] WANG Q, JAFFRES-RUNSER K, XU Y J, et al. TDMA versus CSMA/CA for wireless multi-hop communications: a stochastic worst-case delay analysis[J]. IEEE Transactions on Industrial Informatics, 2017, 13(02): 877-887.

[10] WANG Q, JAFFRES-RUNSER K, SCHARBARG J L, et al. A thorough analysis of the performance of delay distribution models for IEEE 802.11 DCF[C], Elsevier Ad Hoc Networks, Volume 24, Part B, January 2015: 21–33.

[11] WANG Q, JAFFRES-RUNSER K, XU Y J, et al. A certifiable resource allocation for real-time multi-hop 6TiSCH wireless networks[C]. The 13th IEEE World Conference on Factory Communication Systems(WFCS2017), 2017.

[12] 尤政. 智能传感器技术的研究进展及应用展望[J]. 科技导报,2016, 34(17): 72-78.

[13] 智能传感器的8大应用场景[EB/OL]. http://www.iotworld.com.cn/html/News/201912/e76d0675c4927eb7.shtml.

[14] XU Y D, WANG Q, XU Y J. MPDMAC-SIC: Priority-based distributed low delay MAC with successive interference cancellation for multi-hop industrial wireless networks[J]. Computer Communications, 2020, 154: 48-57.

[15] XU Y D, WANG Q, XU Y J. A Self-adaptive Low Delay MAC Protocol For Event-driven Industrial Wireless Networks[C]. IEEE MASS, 2020.12. Delhi, India.

[16] CHENG Chen-Mou, HSIAO Pai-Hsiang, KUNG H T, et al. Maximizing Throughput of UAV-Relaying Networks with the Load-Carry-and-Deliver Paradigm[C]. IEEE Wireless Communications and Networking Conference(WCNC), Mar 2007: 4417–4424.

[17] PERKINS C E, BHAGWAT P. Highly dynamic destination-sequenced distance-vector routing(dsdv)for mobile computer. in Proceedings of the Conference on Communications Architectures, Protocols and Applications, ser. SIGCOMM’94. New York, NY, USA: ACM, 1994: 234–244.

[18] PERKINS C E. Ad Hoc On-Demand Distance Vector(AODV)Routing[C]// Proc IEEE Workshop on Mobile Computing Systems & Applications. 1999.

[19] HAAS Z, PEARLMAN M, SAMAR P. The Zone Routing Protocol(ZRP)for Ad Hoc Networks[J]. IETF Mobile Ad-hoc Network(MANET)Working Group 98, 2002, 34(2):108-108.

[20] KARP B. GPSR: Greedy Perimeter Stateless Routing for Wireless Networks[J]. Acm Mobicom, 2000.

[21] 张莹莹. 车载自组织网络路由算法研究[D]. 大连:大连海事大学,2010.

[22] BOYAN J A, LITTMAN M L. Packet routing in dynamically changing networks: A reinforcement learning approach[C]. in Int. Conf. on Neural Info. Processing Systems. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 1993: 671–678.

[23] JUNG W, YIM J, KO Y. Qgeo: Q-learning-based geographic ad hoc routing protocol for unmanned robotic networks[J]. IEEE Communications Letters, 21(10): 2258–2261, 2017.

[24] LIU J, WANG Q, HE C, et al. QMR: q-learning based multi-objective optimization routing protocol for flying ad hoc networks[J]. Computer Communications, 2020, 150: 304–316.

[25] LIU J, WANG Q, HE C, et al. Ardeep: Adaptive and reliable routing protocol for mobile robotic networks with deep reinforcement learning[C]. The 45th IEEE Conference on Local Computer Networks(LCN), 2020: 465–468.

[26] HO T, MEDARD M, KOETTER R, et al. A random linear network coding approach to multicast[J]. IEEE Transactions on Information Theory, 2006, 52(10): 4413–4430.

[27] WANG Q, LIU J, JAFFRES-RUNSER K, et al. INCdeep: Intelligent Network Coding with Deep Reinforcement Learning[C]. IEEE INFOCOM 2021-IEEE Conference on Computer Communications. IEEE, 2021: 1-10.

[28] 彭宇,王丹. 无线传感器网络定位技术综述[J]. 电子测量与仪器学报,2011, 25(05): 389-399.

[29] 庞泳,李盛,巩庆超. 无线传感网时间同步技术综述[J]. 计算机应用与软件,2016, 33(12): 1-5.

[30] 胡冰,孙知信. 无线传感器网络时间同步机制研究[J]. 计算机科学,2015, 42(07): 1-4, 11.

[31] 陈兵,胡峰,朱琨. 认知无线电研究进展[J]. 数据采集与处理,2016, 31(03): 440-451.

[32] 面向大数据的分布式调度[DB/OL]. https://wenku.baidu.com/view/ 57a755d2bfd5b9f3 f90f76c66137 ee06eef94ede.html.

[33] 魏旻,王平. 物联网导论[M]. 北京:人民邮电出版社,2015.

[34] 牛建军,邓志东,李超. 无线传感器网络分布式调度方法研究[J]. 自动化学报,2011, 37(05): 517-528.

[35] 贾维嘉,周小杰. 雾计算的概念、相关研究与应用[J]. 通信学报,2018, 39(05): 153-165.

[36] 施巍松,张星洲,王一帆,等. 边缘计算:现状与展望[J]. 计算机研究与发展,2019, 56(01): 69-89.

[37] PANG H H, TANK L. Authenticating query results in edge computing[J]. Data Engineering, 2004: 560-571.

[38] 赵梓铭,刘芳,蔡志平,等. 边缘计算:平台、应用与挑战[J]. 计算机研究与发展,2018, 55(02):327-337.

[39] 赵俊钰. 海计算:智慧安防的助推器[J]. 中国公共安全,2014(16): 138-141.

[40] 孙凝晖,徐志伟,李国杰. 海计算:物联网的新型计算模型[J]. 中国计算机学会通讯,2010(02): 39-43. 3eG9Bxei2IivdCd3eq/pjxaBniU/YCcs/ityx5hq6WifYcDpK0bpp0m9INetYWi1

点击中间区域
呼出菜单
上一章
目录
下一章
×