Earticle

초록

영어

The concept of future hyper-connected city will include ubiquitous, frequent connections among people, objects, and our environment. In this sense, crowd information is re-interpreted as the level of interactions in which people communicate with physical devices at rooms and stores, and even on streets in various ways. Therefore, it becomes one of the most meaningful and dynamic data that our future data analysis technology will consume. In order to measure and inform crowd information to people, we propose to use an emerging fog computing model, instead of a conventional cloud. A fog moves portions of computing capability of the cloud down to the network edge and form a local computing environment. By distributing computing and networking services closer to where user data is generated, the fog best meet the emerging demands. We develop a testbed of fog computing architecture and implement a crowd monitoring service on top of it. Then, we deploy all the testbed on a public street and run experiments in a real world environment.

목차

Abstract
 1. Introduction
 2. Fog Computing: Beyond the Cloud
 3. Design of Fog Computing and Networking System
  3.1. Fog Computing
  3.2. Fog Architecture
 4. Measuring Crowd in a Place using IR Sensors
  4.1. Scenario
  4.2. Design Approach
 5. Testbed Development
  5.1. Sensor Device
  5.2. Measuring Sensing Accuracy
  5.3. Fog Platform
  5.3. Local Server and Display
 6. Deployment on a Real World Environment
 7. Conclusion
 References

키워드

저자

• Eun-Kyu Lee [ Dept. of Information and Telecommunication Engineering, Incheon National University, Incheon, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605