Abstract

With the growing popularity of social network and video sharing services, video sharing behaviors have become increasingly socializing. People can produce and share high-quality videos at any time and place using high-speed mobile networks and multimedia IoT devices, e.g., Android Things and smart TV Boxes. The multimedia IoT devices require higher bandwidth, memory, and computing resources to process and transmit multimedia contents such as audio, video, and image. In this paper, we propose a social-aware P2P video transmission strategy for multimedia IoT devices. In the proposed architecture, multimedia IoT devices are communicated using a peer-to-peer network. The peers in our work are represented by multimedia IoT devices with user interactions. Since users have their own friend list, the social links can be classified into different priority classes in accordance with their social relationships, e. g., family, friends, and others. The proposed strategy adopts weighted fair queue (WFQ) for P2P video transmission according to different queuing priority classes. Each priority class is given a weighted factor according to social relationship, current download progress, and mutual resource sharing contributions. By leveraging the inherent trust associated with social links, the proposed strategy can reduce the impact of free riders and give users good video sharing and watching experiences with multimedia IoT devices.

Highlights

  • Multimedia Internet of Things (IoT) environments consists of heterogeneous devices, e.g., smartphones, tablets, and Tv Boxes

  • Each transmission will continue to transmit data packets according to the bandwidth allocated by the social weight (SW)

  • We introduce a social relationship first video transmission policy that employs weighted fair queue (WFQ) for P2P video transmission according to distinctive queuing priority classes of different social relationships among friends

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Summary

INTRODUCTION

Multimedia IoT environments consists of heterogeneous devices, e.g., smartphones, tablets, and Tv Boxes. Through the trust relationship between people, we developed a social-aware P2P network video transmission strategy to stimulate the sharing willingness of users using multimedia IoT devices. B. TRANSMISSION QUEUE MANAGEMENT In the proposed mechanism, the weights in WFQ are defined as bandwidth reservation values proportional to different friend relationships, current transmission status, and resource sharing contributions. The queue adjustment module adapts each data flow’s position according to the current transmission status and resource sharing contributions, and the data is sent to the social-aware WFQ for waiting packet scheduling. When the source peer starts transmitting data streams to the requesting peers, the social-aware classifier sends packets in accordance with the weights assigned to the sending queues, and performs transfer finishing first (TFF) queue adjustment algorithm

TRANSFER FINISHING FIRST QUEUE ADJUSTMENT
PERFORMANCE EVALUATION
Findings
CONCLUSION
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