Abstract
Abstract In real-time multimedia applications, the most problems are how to store, process, and transport the multimedia data with cloud, how to optimize the cloud platform to satisfy the user demand, as well as how to provide the quality of service (QoS) guarantees by combining cloud platform and wireless sensor networks (WSNs). To overcome these issues, the multimedia cloud was designed according to the characteristics of group of pictures (GOP), determining degree, and video frame density. The opportunistic dynamic multimedia cloud platform was proposed on the basis of the variation of packet error rate, decodable frame ratio and peak signal-to-noise ratio (PSNR) with channel quality. Then, the optimal multi-relay hierarchical cooperative multimedia transmission scheme was designed and implemented by reconstructing the cooperative multimedia stream based on the framing of GOP. For enhancing the multimedia cloud computing efficiency and decreasing the complexity of encoding and decoding of multimedia stream, we combined the opportunistic dynamic multimedia cloud platform and cooperative multimedia stream, which can also enhance the resources utilization of WSNs. Finally, the QoS guarantee protocol with the combination of opportunistic dynamic multimedia cloud platform and cooperative multimedia stream for WSNs (ODM-CM-WSN) was presented. Especially, the layered architectural model for multimedia applications and the opportunistic cooperative multimedia cloud service model were developed. The mathematical and simulation results demonstrate that the proposed QoS guarantee protocol can satisfy the various requirements of multimedia applications and provide reliable and efficient cloud services with WSNs.
Highlights
With the wide use of Internet, Internet of Things, and cloud computing technologies [1, 2], the rapid development of distributed computing and sensing technologies, intelligent perception, interaction, and communication is affecting the development process of human life and society
Based on the analytical result of packet error rate, decodable frame ratio, and peak signal-to-noise ratio (PSNR), opportunistic dynamic multimedia cloud platform can be built in the following steps: Decodable frame ratio / %
Average PSNR of proposed opportunistic dynamic multimedia (ODM)-CMWSN scheme decreases slowly and is close to 30 when the distance is larger than 7 km, which benefited from the cooperative multimedia streaming structure and dynamical cloud
Summary
With the wide use of Internet, Internet of Things, and cloud computing technologies [1, 2], the rapid development of distributed computing and sensing technologies, intelligent perception, interaction, and communication is affecting the development process of human life and society. When channel quality is good and NM is 3, packet error rate is close to zero At this time, increasing the scale of multimedia cloud would not enhance performance. Based on the analytical result of packet error rate, decodable frame ratio, and PSNR, opportunistic dynamic multimedia cloud platform can be built in the following steps: Decodable frame ratio / %. Step 2: Calculating the candidate video frame Fi based on the combination of user demand Ur and T according to the parameter values of step 1. Step 3: Combining the determining degree of video frame Fi and qualitative analysis result of h(Fi, T) and making the mapping between user and multimedia stream collection. Step 7: Decreasing the packet error rate by increasing multimedia cloud scale and d is not too large. The throughput with WSNs could be obtained by formula (7)
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