Visual IoT: Enabling Internet of Things Visualization in Smart Cities
| Autor: | Hexiang Qiao, Bing Liang, Zhou Mengdi, Wen Ji, Jingce Xu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Multimedia
Computer Networks and Communications Property (programming) business.industry Computer science 020206 networking & telecommunications 02 engineering and technology computer.software_genre Visualization Software Resource (project management) Hardware and Architecture Smart city 0202 electrical engineering electronic engineering information engineering Key (cryptography) business Adaptation (computer science) computer Building management Information Systems |
| Zdroj: | IEEE Network. 33:102-110 |
| ISSN: | 1558-156X 0890-8044 |
| DOI: | 10.1109/mnet.2019.1800258 |
| Popis: | With advanced IoT, visualization has become an integral part of smart city services in our daily life ranging from building management, property maintenance, autonomous vehicles, healthcare, and shopping to tourism. In visual IoT, visualized sensors like cameras are a key component to smart cities. However, requirements of large bandwidth for visual data and the gap between computation and communication challenge the development of visual IoT. This article presents a systemic analysis for the requirements of visual IoT from the perspective of smart cities. Moreover, this study proposes a novel visual IoT architecture to improve end-to-end performance of next generation smart cities, namely A-VIoT. The proposed system includes six key components: intelligent awareness to sense complex environments, smart video analysis for reducing the amount of visual data, software defined video to generate elastic visual streams, flexible controls to produce optimal adaptation, economic transmission to enhance utilization of resource, and crowd coordination to improve the performance of cooperation. Finally, several open issues are identified to provide directions for further research, particularly in smart city applications. |
| Databáze: | OpenAIRE |
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