Journal of information and communication convergence engineering

  • 제18권3호
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  • Pages.183-187
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  • 2020
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  • 2234-8255(pISSN)
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  • 2234-8883(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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A Study on Intelligent Edge Computing Network Technology for Road Danger Context Aware and Notification

  • Oh, Am-Suk (Department of Digital Media Engineering, Tongmyong University)
  • 투고 : 2020.09.15
  • 심사 : 2020.09.27
  • 발행 : 2020.09.30
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초록

The general Wi-Fi network connection structure is that a number of IoT (Internet of Things) sensor nodes are directly connected to one AP (Access Point) node. In this structure, the range of the network that can be established within the specified specifications such as the range of signal strength (RSSI) to which the AP node can connect and the maximum connection capacity is limited. To overcome these limitations, multiple middleware bridge technologies for dynamic scalability and load balancing were studied. However, these network expansion technologies have difficulties in terms of the rules and conditions of AP nodes installed during the initial network deployment phase In this paper, an intelligent edge computing IoT device is developed for constructing an intelligent autonomous cluster edge computing network and applying it to real-time road danger context aware and notification system through an intelligent risk situation recognition algorithm.

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참고문헌

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