Earticle

초록

영어

With the growth of location-based services (LBS), location-based data is a crucial role for many sensor-network applications. Although the conversion of data formats in heterogeneous sensor networks has been studied extensively, the integration of spatial data models is not well understood, which is important to understand the semantics of spatial data in sensor networks. To determine the spatial data integration in model level, we have investigated the cognitive model of spatial information, the conceptual model of space phenomena, and the logic of spatial data management mode, leading to the integration of various spatial data sets from the view of model integration. Furthermore, we provide a method for the effective storage and management of massive and multi-source heterogeneous spatial data. Ultimately, the experimental result shows that the method offers a better way of model integration that cannot be achieved with existing schemes.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. Modeling and Integration of Spatial Data
  2.2. Spatial Data Model of Internet of Things
 3. Problem Description and Modeling
 4. Framework Design
  4.1. Object Sensing Layer
  4.2. Information Integration Layer
  4.3. Application Service Layer
 5. Case Study
  5.1. Data Preparation
  5.2. Technical Process
  5.3. Experimental Results
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Feng Jiangfan [ College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China ] Corresponding Author
• Wei Wei [ College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China ]

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