An Efficient Modified Dragonfly Optimization Based MIMO-OFDM for Enhancing QoS in Wireless Multimedia Communication

Jothi, S.; Chandrasekar, A.

doi:10.1007/s11277-021-08938-7

Cited by 24 publications

(10 citation statements)

References 39 publications

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“…When the system load is 99%, the common methods cannot realize emergency communication scheduling due to system load overshoot, and the corresponding average delay cannot be considered, indicating that the common methods are unstable. e average delay of the method proposed in this paper is relatively stable under different system loads, which is always kept below 40 ms, and has practical application value [25,26].…”

Section: Simulation Experimentsmentioning

confidence: 89%

Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment

Shang

2022

Security and Communication Networks

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Aiming at the problem of long average delay of traditional UAV emergency communication, a performance optimization method of UAV communication link based on emergency communication environment is proposed. The target tasks in the emergency communication channel are divided into different target task groups. According to the distance between the target tasks in the target task group, the symmetric matrix is constructed, all elements in the symmetric matrix are classified, and the classification results are calculated by ant colony algorithm to construct the emergency communication task scheduling model of UAV. Combined with the emergency communication task scheduling model and the demand, priority, time window, and communication ability of UAV emergency scheduling task, the time delay control of UAV emergency communication is realized with the goal of maximizing the efficiency of UAV task execution, maximizing the completion rate of UAV task execution and minimizing the risk of UAV delay. The experimental results show that the average delay of the three methods also increases. When the system load is 50%, the average delay of common methods is 23 ms, the average delay of traditional methods is 76 ms, the average delay of the method proposed in this paper is 26 ms, and the common average delay is the shortest. When the system load is 99%, the common methods cannot realize emergency communication scheduling due to system load overshoot, and the corresponding average delay cannot be considered, indicating that the common methods are unstable. The average delay of the method proposed in this paper is stable under different system loads and always remains below 40 ms. It is proved that compared with the traditional methods, the method proposed in this paper takes less time for UAV emergency communication and has less average delay under different system loads, so it has better application value.

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Section: Simulation Experimentsmentioning

confidence: 89%

Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment

Shang

2022

Security and Communication Networks

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“…The proposed energy mixing model and improved DA technology significantly improved the operating performance of the network in terms of the average annual energy loss, node voltage distribution and demand fluctuations caused by renewable energy. Jothi [95] proposed an orthogonal frequency-d division multiplexing multimedia model with extremely low power consumption and high energy efficiency. The multi-objective DA was used to generate a confidence level that minimized the mean square error, reduced the power consumption of a mobile communication system, and optimized its energy efficiency.…”

Section: Research Progress Regarding Theory and Application Of Dragon...mentioning

confidence: 99%

A survey on several new popular swarm intelligence optimization algorithms

Wei

Huang

2023

Preprint

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Traditional optimization methods rely on parameter selection and a require high mathematical performance of the objective function. Thus, swarm intelligence optimization algorithms have attracted extensive attention as modern optimization methods in recent years, achieving remarkable results in the fields of machine learning, engineering optimization, process control, and elsewhere. Swarm intelligence optimization algorithms are a form of computing technology built upon the laws of biological group behavior, they are simple, fast, and place low requirements upon the objective functions. The traditional swarm intelligence algorithm offers new ideas for solving certain practical problems, however, it suffers from shortcomings in several experiments. In recent years, numerous scholars have proposed new swarm intelligence optimization algorithms, this paper selects several of the more typical swarm intelligence algorithms proposed in recent years at home and abroad, including the Whale Optimization Algorithm, Moth-Flame Optimization Algorithm, Fireworks Algorithm, Dragonfly Algorithm, Crow Search Algorithm, Butterfly Optimization Algorithm, and Pigeons Algorithm. Furthermore, the experimental performances of these algorithms are compared with respect to their convergence speed, accuracy, and stability, using 18 standard test functions, and the relative improvement methods are compared and analyzed. Finally, the characteristics of the swarm intelligence optimization algorithm are summarized, and its future development potential is discussed.

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“…Assuming that the V j -th audio packet and the V j -th video packet arrive at the playback end at the same time (the relevant parameters of audio and video session stream are represented by labels a and V respectively), after the absolute time corresponding to wireless English audio packet and video frame is calculated by equation (6). By comparing the wireless English audio and video time offset skew with the synchronization boundary threshold, the synchronization error is detected and judged, and the corresponding synchronization control is carried out according to the judgment results.…”

Section:  mentioning

confidence: 99%

“…However, the application of these new theories and methods is not mature, and there are still various deficiencies in the conclusions. Although multidimensional wireless sensor networks have important application prospects in reality, there is no representative application system of multidimensional wireless sensor networks at present, except that some simple regular structure wireless sensor networks are deployed to underwater sensor networks [6]. Swain C and others proposed a new EOA method.…”

Section: Introductionmentioning

confidence: 99%

Analysis of wireless English multimedia communication based on spatial state model equation

Long¹,

Li²,

Jin

2022

Applied Mathematics and Nonlinear Sciences

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In order to improve the quality of wireless English multimedia communication, according to the characteristics of space multimedia communication environment and communication equipment, this paper proposes a wireless English synchronous QoS control algorithm with low complexity and easy implementation. Using RTCPSRRTP timestamp and NTP absolute timestamp, the wireless English RTP timestamp is mapped to the same absolute reference clock (sender system time) respectively, and the wireless English synchronization detection decision rule is established according to the synchronization QoS performance requirements between wireless English media. Wireless English synchronization control system model at the receiver. At the receiving end, the wireless English stream is the main media stream and the video stream is the slave media stream. The synchronization detection and judgment is implemented in real time before the video frame is played. The synchronization between audio and video media is realized by corresponding synchronization control of wireless English playback. State space model reflects all the information of system dynamic behavior and is a complete description of system behavior. The state space model has a wide range of applications. It is not only suitable for SISO linear constant systems, but also suitable for nonlinear systems, time-varying systems, MIMO systems and stochastic systems. The more outstanding advantage is that the state space model adopts local calculation and uses the state variables inside the system to describe its dynamic characteristics. This property of local calculation not only greatly simplifies the mathematical expression of multi-dimensional system, but also facilitates the analysis and research of the system. The air link rate of the wireless transceiver is set to 512Kbps. The video is encoded based on H.264 and the audio is encoded based on G.729 Speech coding standard. Compared with the wireless English media synchronization control algorithm based on RTP / RTCP, the results show that the RMSE value after adopting the synchronization algorithm in this paper is reduced by 60.09% and 77.69% at most; Compared with the wireless English media synchronization control algorithm based on RTP / RTCP, the synchronization performance of this algorithm is better than the wireless English media synchronization control algorithm. The RMSE value is reduced by 2% on average and 5.2% at most. In addition, the synchronization control algorithm between wireless English media performs synchronization control by losing frames or pausing decoding before video decoding at the receiver, which affects the quality of wireless English video decoding and reconstruction.

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An Efficient Modified Dragonfly Optimization Based MIMO-OFDM for Enhancing QoS in Wireless Multimedia Communication

Cited by 24 publications

References 39 publications

Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment

Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment

A survey on several new popular swarm intelligence optimization algorithms

Analysis of wireless English multimedia communication based on spatial state model equation

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