- Open Access
Mobile multimedia crowd service cooperation control protocol based on opportunistic wavelet
© The Author(s). 2017
- Received: 22 August 2016
- Accepted: 18 January 2017
- Published: 13 February 2017
In order to improve the quality of multimedia communication and experience, we proposed a crowd service cooperation control protocol based on the opportunistic wavelet model. Firstly, in order to provide real-time and reliable guarantee for mobile multimedia services, we analyze the delay, jitter, and distortion of wireless multimedia streams transmission based on wavelet model. The method of video frame resolution analysis and wavelet scale space is combined to establish a wavelet multimedia mobile analysis model. Secondly, the crowd service plan was proposed to correctly decode and compensate the video frame in the mobile multimedia receiver. Finally, the cooperative control of crowd services was proposed to address the distortion competition problems of the video frame sequence. A set of experimental results demonstrate the capability of video frame quality assurance for mobile multimedia crowd service cooperation control protocol. Another group of comparative analysis of the experiment results fully demonstrate the mobile multimedia crowd service cooperative control protocol can provide the higher system throughput and smaller delay compared with the guarantee mechanism of multimedia quality of service based on wavelet analysis.
- Mobile multimedia
- Opportunistic wavelet
- Crowd service
- Cooperation control
Because of the intense competition in the channel, the transmission bandwidth is limited , the video distortion rate is higher , the external interference factors are unknown, and the  node mobile  leads to a serious decline in the quality of multimedia communication. Such a multimedia flow cannot meet the user’s viewing needs. Multimedia video frame compensation competition  and the randomness of the mobile nodes lead to the quality of multimedia transmission that is restricted by the video distortion and interference. The above factors make the service quality of the mobile network real-time multimedia service delivery cannot be effectively guaranteed.
Also in the mobile network, because the multiple distortion of video frames need to share the same opportunistic compensation , coordination video frame distortion judgment and the secondary compensation is very important, so the design can effectively use mobile network topology characteristics and real-time multimedia mobile service transmission characteristics improve mobile multimedia services intelligent level, attracting the attention of many researchers in academia and industry [7, 8].
The video processing algorithm was mapped onto a learning method to improve machine to the parallel reconfigurable computing architecture . The author of article  proposed the service-oriented mobile multimedia cooperative storing, and the delivery scheme to improve the quality of multimedia communication and mobile users, the work efficiency of the cloud platform. The security and privacy issues of multimedia services were investigated in article  by studying a newly emerging multimedia-oriented mobile social network, which helps users receive multimedia services not only from their online social communities. The authors of article  proposed a hybrid cloud architecture, which serves as a substrate for scalable and fast time-to-market mobile multimedia services. The link quality and geographical beaconless OR protocol for efficient video dissemination was presented in article  for mobile multimedia Internet of Things, which relies on a beaconless OR approach and uses multiple metrics for routing decisions. The improving map that reduces task scheduling and micro-partitioning mechanism was proposed by the authors of article  for mobile cloud multimedia services. The authors of article  proposed a dual mode self-adaption handoff mechanism for multimedia services in mobile cloud computing environment to improve handoff quality and minimize utilized bandwidth. An adaptive modulation coding technique with cross-layer mapper module is proposed in article  for enhancing the quality of service, which is used to realize the main bottleneck parameters for the multimedia applications such as bandwidth, delay, and throughput. The article  studied the home nursing guidance based on the application of multimedia messaging services via mobile phones to support outpatients for the pediatric intestinal colostomy complications.
In this paper, we presented a mobile multimedia crowd service cooperation control protocol based on opportunistic wavelet to improve the quality of multimedia communication and experience. The general architecture of the crowd service cooperation control protocol was proposed by the analyzation of the delay, jitter, and distortion of the wireless transmission of multimedia streams based on the wavelet model. The cooperative control of mobile multimedia crowd service was researched and addressed the problem such as the mobile multimedia receiver cannot correctly decode and compensate for the video frame.
The rest of the paper is organized as follows. Section 2 shows the opportunistic wavelet multimedia mobility model. Cooperative control of mobile multimedia crowd service was discussed in Section 3. The results are shown in Section 4. Finally, Section 5 concludes this paper.
In order to provide real-time and reliable guarantee for the mobile multimedia services, we analyzed the delay, jitter, and distortion of the wireless transmission of multimedia streams based on the wavelet model. The method of video frame resolution analysis and wavelet scale space are combined to establish a wavelet multimedia mobile analysis model. In the wavelet scale space, the opportunistic sampling method is used to capture the video frame sequence. In the opportunistic wavelet domain, the opportunistic perception method is used to capture the moving sequence of multimedia.
In the process of wavelet transform, we use the opportunistic wavelet transform to analyze the video frame sequence. The analysis result is helpful to process the jitter dispersion of multimedia mobile transmission. Large delay jitter of the video frame of the static multimedia transmission severely reduces the quality of the multimedia broadcast. The video frame sequence of the dynamic multimedia transmission is easy to be disorderly and aggravate the jitter.
In the opportunistic wavelet multimedia mobile model, the opportunistic video frame sequence is reconstructed by the opportunistic wavelet linear transform. This sequence is performed by opportunistic recombination resolution. This can obtain the opportunistic mobile multimedia video frame wavelet scale space. In the scale space and opportunistic wavelet domain, the moving scale coefficients and the opportunistic wavelet weights are adjusted in real time. This can generate a new type of mobile multimedia video frame.
Here, δ is used to describe the opportunistic weight of the original video sequence. k represents the length of the original video frame sequence. j represents the size of the video frame. i represents a linear video frame number. Symbol m represents linear video frame size.
Here, the distortion jitter number of the multimedia mobile video frame jitter is evaluated by expression as (j/(k*m)). Obviously, in J = k = m, P CS has the linear monotone change characteristics. With the increase of distortion jitter number of video frames, the quality of mobile multimedia crowd service will be seriously reduced. This is due to the intense competition between the video frames of the multimedia distortion. Therefore, the mobile multimedia receiver can select the crowd service rejection probability and a sequence of video frames according to the competition state of the video frames.
The distortion of each mobile video frame in the multimedia network is compensated only once. This kind of video frame can enter the distortion video frame sequence if the transmission process is in conflict with the competition.
After the crowd service is rejected, the mobile multimedia stream is reconstructed based on the opportunistic wavelet model.
Cooperative control between crowd services. Cooperative control of distortion of video frame sequences.
Simulation parameter settings with mobility
Sending data rate
Data sending node number
Relay node number
Data receiving node number
Number of mobile node
Number of video frame
Simulation parameter settings with static analysis
10 times per second
Data sending node number
Relay node number
Data receiving node number
Number of mobile node
Number of video frame
Data packet number of one frame
Size of data packet
Sending rate of data packets
[1, 8] packets per second
Based on the opportunistic wavelet model, we proposed a cooperative control protocol for multimedia mobile crowd service. The protocol can effectively improve the quality of multimedia communication and the quality of multimedia experience. On the one hand, on the basis of analyzing the delay jitter and distortion compensation of multimedia stream transmission, we give the guarantee scheme of the real-time and reliability of mobile multimedia services. At the same time, the wavelet multimedia mobile analysis model is established after the combination of the video frame resolution analysis and the wavelet scale space. On the other hand, we proposed a mobile multimedia decoding compensation crowd service scheme. In addition, a competitive and cooperative control mechanism is established between the crowd service and the distortion of the video frame sequence. Simulation results verify the effectiveness of the video frame quality assurance of mobile multimedia crowd service cooperation control protocol. At the same time, the system throughput and delay of the multimedia service quality guarantee mechanism based on the wavelet analysis are analyzed. The results show that the mobile multimedia crowd service cooperation control protocol based on opportunistic wavelet has significant advantages.
This work is supported in part by the Major research projects of Ministry of public security (201202ZDYJ017).
The study of the mobile multimedia crowd service cooperation control protocol was carried out by W-HS (Wei-Hang Shi), and the revision of wavelet model was done by W-PL (Wei-Ping Li). The simulation experiment and coding work were done by both the authors. This manuscript had been prepared and checked by both of the authors together. Both authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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