Construction of Wireless Sensor Network Video Surveillance System for Multimedia Classroom Education and Teaching under 5G Communication Network

被引:3
作者
Wu, Wenping [1 ]
Lu, Biao [2 ]
机构
[1] Suzhou Univ, Informat Engn Dept, Suzhou 234000, Peoples R China
[2] Suzhou Univ, Sch Informat & Engn, Suzhou 234000, Peoples R China
关键词
INTERNET; THINGS;
D O I
10.1155/2022/6385391
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Research on wireless sensor network video surveillance system is a hot field of media classroom education and teaching. Based on the 5G communication network theory, this paper constructs a wireless sensor network video monitoring system for multimedia classroom education and teaching, systematically analyzes the new distance education model under the condition of the integration of the two networks, and improves the interactive live classroom education model. For the classroom teaching mode, the model studies the isochronous transmission technology of data collection and video encoding and decoding, adopts hardware compression encoding, integrates key technologies such as reliable multicast and conditional access, and proposes the design of the system scheme, which solves the problem of multimedia classroom education and teaching digital issues. During the simulation process, the MATLAB software platform was used to study the effect of the number of 5G communication network nodes and node attributes (such as node position, node perception angle, instantaneous perception direction, or direction difference between neighboring nodes, node speed, etc.) on the target area or target point. The experimental results show that the performance of the joint optimization of transmission video quality and network lifetime performs well under multipath conditions. The total utility under multipath finally converges to 8.3, while the single path finally converges to 6.5, which further promotes the real-time performance of the multimedia network classroom teaching system.
引用
收藏
页数:12
相关论文
共 26 条
  • [1] Abdulwahab, 2022, J TELECOMMUNICATION, V14, P21
  • [2] Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges
    Albreem, Mahmoud A.
    Sheikh, Abdul Manan
    Alsharif, Mohammed H.
    Jusoh, Muzammil
    Mohd Yasin, Mohd Najib
    [J]. IEEE ACCESS, 2021, 9 : 38833 - 38858
  • [3] Recent Advances and Future Directions on Underwater Wireless Communications
    Ali, Mohammad Furqan
    Jayakody, Dushantha Nalin K.
    Chursin, Yury Alexandrovich
    Affes, Sofeine
    Dmitry, Sonkin
    [J]. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2020, 27 (05) : 1379 - 1412
  • [4] RETRACTED: Smart campus and innovative education based on wireless sensor (Retracted article. See vol. 101, 2023)
    Chen, Ting
    [J]. MICROPROCESSORS AND MICROSYSTEMS, 2021, 81
  • [5] Big Data Collection in Large-Scale Wireless Sensor Networks
    Djedouboum, Asside Christian
    Ari, Ado Adamou Abba
    Gueroui, Abdelhak Mourad
    Mohamadou, Alidou
    Aliouat, Zibouda
    [J]. SENSORS, 2018, 18 (12)
  • [6] Delay and Reliability Analysis of p-Persistent Carrier Sense Multiple Access for Multi-Event Industrial Wireless Sensor Networks
    Hang, Nguyen Thi Thu
    Trinh, Nguyen Chien
    Ban, Nguyen Tien
    Raza, Mohsin
    Nguyen, Huan X.
    [J]. IEEE SENSORS JOURNAL, 2020, 20 (20) : 12402 - 12414
  • [7] Hong-Tan L., 2021, AGGRESS VIOLENT BEH, DOI [10.1016/j.avb.2021.101601, DOI 10.1016/J.AVB.2021.101601]
  • [8] Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics
    Hossain, M. Shamim
    Muhammad, Ghulam
    Guizani, Nadra
    [J]. IEEE NETWORK, 2020, 34 (04): : 126 - 132
  • [9] Huang L., 2020, ENCY WIRELESS NETWOR, P411, DOI [10.1007/978-3-319-78262-1_260, DOI 10.1007/978-3-319-78262-1_260]
  • [10] A review on 5G technology for smart energy management and smart buildings in Singapore
    Huseien, Ghasan Fahim
    Shah, Kwok Wei
    [J]. ENERGY AND AI, 2022, 7