APPLICATION RESEARCH OF NETWORK CONGESTION CONTROL AND INTELLIGENT TERMINAL INTERACTION BASED ON INET PROTOCOL

被引:0
|
作者
Xie, Lun [1 ]
Bian, Lili [1 ]
Wang, Zhiliang [1 ]
机构
[1] Univ Sci & Technol Beijing, Sch Informat Engn, Beijing 100083, Peoples R China
关键词
Network congestion; iNet Protocol; Hidden markov model; Emotion cognition model;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the background of digital home application, network congestion control and emotion cognition model on the basis of the intelligent terminals iNet protocol interactive system were studied. Firstly, network congestion model based on hidden markov model(HMM) were analyzed, the test and simulation on the linkage path were realized. Thus, the network congestion control and the network service quality were improved. Then, speech action control, emotional analysis and transformation algorithm in the intelligent terminal system were further studied. Finally, it is found that the simulation and the actual experiment results are in good agreement demonstrating the validity of the algorithm.
引用
收藏
页码:74 / 78
页数:5
相关论文
共 50 条
  • [41] PASCCC: Priority-based application-specific congestion control clustering protocol
    Jan, Mian Ahmad
    Nanda, Priyadarsi
    He, Xiangjian
    Liu, Ren Ping
    COMPUTER NETWORKS, 2014, 74 : 92 - 102
  • [42] The Research of Network Capacity Based on the Network Edge Congestion
    Wang, Li
    Guo, Dongchao
    Liang, Mangui
    PROCEEDINGS OF 2010 CROSS-STRAIT CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY, 2010, : 255 - 259
  • [43] A Prioritization Based Congestion Control Protocol for Healthcare Monitoring Application in Wireless Sensor Networks
    Yaghmaee, Mohammad Hossein
    Bahalgardi, Nazbanoo Farzaneh
    Adjeroh, Donald
    WIRELESS PERSONAL COMMUNICATIONS, 2013, 72 (04) : 2605 - 2631
  • [44] Modified QUIC protocol with congestion control for improved network performance
    Kharat, Prashant
    Kulkarni, Muralidhar
    IET COMMUNICATIONS, 2021, 15 (09) : 1210 - 1222
  • [45] Intelligent Control of Congestion based on Multi-SoftMan
    Zhao, Yu-hong
    Zheng, Xue-feng
    Tu, Xu-yan
    AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4, 2012, 468-471 : 2033 - +
  • [46] Sudden passenger flow characteristics and congestion control based on intelligent urban rail transit network
    Wang, Yulei
    Li, Meng
    Zhou, Jian
    Zheng, Hongyu
    Neural Computing and Applications, 2022, 34 (09) : 6615 - 6624
  • [47] Research on the congestion control of broadband integrated service digital network based on ATM
    Li, Wei
    Che, Zhi-Jun
    Li, Yono-Wei
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 2510 - +
  • [48] Sudden passenger flow characteristics and congestion control based on intelligent urban rail transit network
    Wang, Yulei
    Li, Meng
    Zhou, Jian
    Zheng, Hongyu
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (09): : 6615 - 6624
  • [49] Sudden passenger flow characteristics and congestion control based on intelligent urban rail transit network
    Yulei Wang
    Meng Li
    Jian Zhou
    Hongyu Zheng
    Neural Computing and Applications, 2022, 34 : 6615 - 6624
  • [50] Research on the Network Congestion Control based on GA-PSO Path Optimization
    Ren, Jinxia
    Guo, Haoyang
    APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 675 - 678