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Multimedia intelligent fog computing scheme based on robust perception for complex networks

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Abstract

The dynamic topology of complex networks, the randomness of environmental noise and the uncertainty of data links make it difficult to guarantee the quality of multimedia services. This paper combines synchronization control, robustness perception and fog computing in complex networks to improve the quality of multimedia services, and designs a series of architecture and control algorithms for complex networks. Firstly, a synchronization control algorithm for complex networks is proposed based on the analysis of the multi-edge data flow cannot be exhausted, the mixing of multi-direction information transmission delay, the undirected multi-period characteristics of information collection delay and the requirements of multi-media tasks with different attributes. Then, aiming at optimizing the extraction of multimedia desired quality in complex environment, a multimedia transmission control algorithm is designed based on the robustness of complex network. This algorithm can accurately extract the desired multimedia signal from the environment noise, video, image and other redundant multimedia signals. Secondly, by adjusting the minimum spanning tree size of multipath system and scheduling multimedia data transmission, an intelligent algorithm for multimedia fog computation is designed. Finally, mathematical analysis and simulation experiments verify the correctness of the proposed algorithm from the aspects of real-time, feasibility, execution efficiency and resource utilization.

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Authors and Affiliations

  1. School of Communications and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an, 710121, China

    Lu Liu

  2. School of Electronic Engineering, Xidian University, Xi’an, 710126, China

    Lu Liu

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  1. Lu Liu
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Correspondence to Lu Liu.

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This article is part of the Topical Collection: Special Issue on Fog/Edge Networking for Multimedia Applications

Guest Editors: Yong Jin, Hang Shen, Daniele D'Agostino, Nadjib Achir, and James Nightingale

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Liu, L. Multimedia intelligent fog computing scheme based on robust perception for complex networks. Peer-to-Peer Netw. Appl. 12, 1499–1510 (2019). https://doi.org/10.1007/s12083-019-00729-z

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  • DOI: https://doi.org/10.1007/s12083-019-00729-z

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