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논문검색

A Multi-Granularity Grid-Based Graph Model for Indoor Space

초록

영어

With the development of the Internet of Things (IoT) and indoor positioning technologies, how to manage the rapidly increasing indoor moving object data is a research topic. The fundamental issue is to consider the representation of complicated indoor space as well as the moving object. In this paper, we aim to propose a complete indoor space model that can sup-port various indoor applications. The proposed model divides each indoor element into multi-granularity grids and introduces grids as indoor primitive geometry for the representation of connectivity between indoor elements and location of moving objects. The advantage of this approach is that it can simultaneously represent the connective relationship and geometric information of indoor elements, and give more accurate description of indoor distance and direction information. Several queries of indoor applications under the shopping mall scenar-io are employed to illustrate the completeness and robustness of our model.

목차

Abstract
 1. Introduction
 2. Related work
 3. Framework of the Multi-Granularity Grid Graph Model
  3.1. Indoor grids partition
  3.2. Indoor primitive geometry
  3.3. Modeling of indoor space
 4. Applications of InMGG_Model
  4.1. Indoor navigation
  4.2. Indoor moving object join query
  4.3. Indoor hotspot analysis
  4.4. Indoor diffusion analysis
 5. Conclusions
 Acknowledgements
 References

저자정보

  • Na Wang School of Computer Science and Technology, University of Science and Technology of China
  • Peiquan Jin School of Computer Science and Technology, University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences
  • Yan Xiong School of Computer Science and Technology, University of Science and Technology of China
  • Lihua Yue School of Computer Science and Technology, University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences

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