Earticle

초록

영어

For intelligent wide area surveillance, distributed cooperative inference between agents should be provided efficiently. In this paper, efficient cache management model for better context inference based on distributed data infrastructure is investigated. Context aware computing with inference based on ontology is widely used in distributed surveillance environment. However even smart devices, they generally have small memory and power which can manage only part of surveillance data. Higher level inference considering related wide area information can cause huge data transmission. Surveillance data integration merges and aligns ontologies according to the semantic similarity for efficient cooperation. For such a collaborative network, ICN(Information Centric Network) is adopted and an effective cache management scheme that can help the efficient ontology integration. In this paper, we propose an efficient cache management model which is adaptive to the actual device demands. Our scheme shows the efficiency of model resulted in better and efficient context inference.

목차

Abstract
 1. Introduction
 2. Cache Management Model
 3. Performance Evaluation and Discussion
 4. Conclusion
 References

키워드

저자

• Soomi Yang [ Dept. Information and Communication Engineering, The Univ. of Suwon ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  보안공학연구논문지 [Journal of Security Engineering]

• 간기

  계간

• pISSN

  1738-7531

• 수록기간

  2005~2017

• 십진분류

  KDC 505 DDC 605