Abstract

With more and more video application scenarios and increasing complexity, the popularization of multimedia information and the urgent need to update wireless sensor networks have led to the emergence and development of wireless multimedia sensor networks. This paper focuses on the rate control optimization algorithm of multimedia-based ubiquitous power sensor network, which is mainly studied from three aspects: constructing algorithm verification platform based on multimedia technology, performance analysis, and optimization of rate control optimization algorithm based on multimedia technology. An algorithm verification platform is established based on multimedia technology. This article uses a scalable video coding method to design a client-driven scalable video transmission system. The simulation results show that the algorithm can effectively improve the video quality. The algorithm of rate control based on multimedia technology is proposed. A reliable multipath routing algorithm based on AODV is proposed. Based on the energy balance algorithm, the node-independent routing mechanism and link quality estimation model are introduced. An independent and reliable active/standby communication link to the node of the destination node is established. Linux, the full name of GNU/Linux, is a free-to-use and freely disseminated Unix-like operating system. It is a POSIX-based multiuser, multitasking, multithreaded, and multi-CPU operating system. With the development of the Internet, Linux has gained support from software enthusiasts, organizations, and companies all over the world. In addition to maintaining a strong momentum of development in servers, it has made considerable progress in personal computers and embedded systems. Under the Linux platform, a large number of tests are performed and the performance of the control code rate is analyzed. The so-called sensor network is a distributed intelligent network system that is composed of a large number of small sensor nodes with wireless communication and computing capabilities deployed in the active area through a self-organizing method that can autonomously complete designated tasks according to the environment. The distance between the nodes of the sensor network is very short, and the multihop wireless communication method is generally used for communication. The sensor network can run in an independent environment, or it can be connected to the Internet through a gateway so that users can access it remotely. It is concluded that ABR is the most suitable rate control algorithm for video transmission. According to the CQP experiment results, the QP value set in the improved ABR algorithm is at most 40; the security from the construction of the ubiquitous power sensor network to the final monitoring data collection and upload process is verified by simulating the hypothesis attacks and faults. It is proved that the construction of ubiquitous power sensor network can reduce the energy consumption and delay of monitoring data collection and verify the superiority of constructing ubiquitous power sensor network.

Highlights

  • IntroductionWireless video transmission refers to a monitoring system that uses radio waves to transmit video, sound, data, and other signals without wiring (cables). ere are two main concepts for wireless image transmission, that is, real-time video transmission

  • Wireless video transmission refers to a monitoring system that uses radio waves to transmit video, sound, data, and other signals without wiring. ere are two main concepts for wireless image transmission, that is, real-time video transmission

  • In order to solve the problem of complex operation and low accuracy in ubiquitous power sensor networks, this paper focuses on three aspects of the rate control optimization algorithm for multimedia-based ubiquitous power sensor networks: building multimedia-based technologies. ese three aspects are from the algorithm verification platform, the performance analysis of the rate control optimization algorithm based on multimedia technology, and the performance analysis of the ubiquitous power sensor network

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Summary

Introduction

Wireless video transmission refers to a monitoring system that uses radio waves to transmit video, sound, data, and other signals without wiring (cables). ere are two main concepts for wireless image transmission, that is, real-time video transmission. Because of the limitation of transmission bandwidth, it is necessary to control the transmission bit rate of the video. Is technology is called bit rate control. E joint adjustment of these two points makes the bit rate control more accurate. Simplifying the whole process and ensuring the completeness and continuity of the test after the transformation has become one of the important research directions. Bit rate is called “binary bit rate,” commonly known as “bit rate,” indicating the number of transmitted bits per unit time. It is used to measure the transmission speed of digital information, often written as bit/sec. According to the number of bits occupied by each frame of image storage and the transmission bit rate, the transmission speed of digital image information can be calculated

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