Toward Joint Compression–Transmission Optimization for Green Wearable Devices: An Energy-Delay Tradeoff

Hu, Weizheng; Zhang, Wei; Hu, Han; Wen, Yonggang; Tseng, King Jet

doi:10.1109/jiot.2017.2704605

Cited by 10 publications

(1 citation statement)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed technique efficiently measures the image pixel, contrast, and structural distortion by considering the luminance masking of the image to access the quality of the image. Hu et al in [178] proposed a joint compression and transmission technique to optimize energy usage based on the canonical Lyapunov optimization scheme for power-constrained multisensor wearable devices.…”

Section: A Multimedia Coding and Compressionmentioning

confidence: 99%

Multimedia Internet of Things: A Comprehensive Survey

et al. 2020

View full text Add to dashboard Cite

The immense increase in multimedia-on-demand traffic that refers to audio, video, and images, has drastically shifted the vision of the Internet of Things (IoT) from scalar to Multimedia Internet of Things (M-IoT). IoT devices are constrained in terms of energy, computing, size, and storage memory. Delaysensitive and bandwidth-hungry multimedia applications over constrained IoT networks require revision of IoT architecture for M-IoT. This paper provides a comprehensive survey of M-IoT with an emphasis on architecture, protocols, and applications. This article starts by providing a horizontal overview of the IoT. Then, we discuss the issues considering the characteristics of multimedia and provide a summary of related M-IoT architectures. Various multimedia applications supported by IoT are surveyed, and numerous use cases related to road traffic management, security, industry, and health are illustrated to show how different M-IoT applications are revolutionizing human life. We explore the importance of Quality-of-Experience (QoE) and Quality-of-Service (QoS) for multimedia transmission over IoT. Moreover, we explore the limitations of IoT for multimedia computing and present the relationship between the M-IoT and emerging technologies including event processing, feature extraction, cloud computing, Fog/Edge computing and Software-Defined-Networks (SDNs). We also present the need for better routing and Physical-Medium Access Control (PHY-MAC) protocols for M-IoT. Finally, we present a detailed discussion on the open research issues and several potential research areas related to emerging multimedia communication in IoT. INDEX TERMS Multimedia Internet of Things (M-IoT), multimedia communication, Internet of Multimedia Things (IoMT), multimedia computing, Quality-of-Experience (QoE), Quality-of-Service (QoS), multimedia routing, medium access control (MAC).

show abstract

Section: A Multimedia Coding and Compressionmentioning

confidence: 99%