Internet of things for flame monitoring power station boilers

Sujatha, K.; Bhavani, N. P. G.; Reddy, T. Kalpalatha; Kumar, Kanhaiya

doi:10.1109/tima.2017.8064783

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…Flame color video recording and images are analyzed to optimize air to fuel ratio that ensures combustion quality. Sujatha et al [128] proposed Fishers Linear Discriminant (FLD) analysis technique for dimension reduction and classification. An Artificial Neural Network (ANN) based on Back-Propagation Algorithm (BPA) and Ant Colony Optimization (ACO) for feature extraction from flame images and videos are utilized to maintain the combustion quality.…”

Section: Multimedia Iot In Industrial Applications 1) Smart Industrymentioning

confidence: 99%

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Multimedia Internet of Things: A Comprehensive Survey

et al. 2020

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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).

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Section: Multimedia Iot In Industrial Applications 1) Smart Industrymentioning

confidence: 99%

“…The use case of M-IoT in industrial and agricultural applications. (a) Multimedia data flow in industrial IoT for inspection of steel manufacturing ([125],[126]), combustion quality maitenance[128], and industrial meter reading[129]. (b) Agricultural application of M-IoT for crop monitoring for production control ([134]-[139]).…”

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confidence: 99%