The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Efficient Computing Method for Location-Based Density of Mobile Node

효과적인 위치 기반 이동 노드 밀집도 계산방법

  • Kim, In-bum (Kimpo University School of Smart Information Technology) ;
  • Seo, Choon-weon (Kimpo University Department of Computer Networks)
  • Received : 2015.09.22
  • Accepted : 2015.10.30
  • Published : 2015.11.30
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Abstract

Location-based density information of mobile node could be used well in various, new and expanding areas such as location-based services, internet of things, smart grid technologies, and intelligent building. In general, receiving mobile nodes of a wireless mobile node depend on the maximum communication range of transmitting mobile node. In this paper, efficient computing method for mobile node using Delaunay triangulation is proposed, which is irrespective of mobile node's maximum communication range and reflect relative location in a given situation. Proposed method may be good used to find out the density of network constructed by various max communication range devices as Internet of Things. This method suggested in this paper could work well for location-based services, internet of things, smart grid technologies, and intelligent building.

이동노드의 밀집도 정보는 모바일 IT 기술의 비약적인 발전과 함께 위치기반서비스, 사물인터넷, 스마트그리드, 지능형빌딩시스템 등 최근에 확대되는 다양하고 새로운 분야에 다양하게 활용될 수 있다. 일반적으로 특정 위치에서의 무선 이동노드의 통신 가능한 수신 이동노드는 송신 이동노드의 최대 통신 거리에 따라 가변적이다. 본 논문에서에서 들로네 삼각망을 이용해서 최대 통신거리와는 무관하게 주어진 환경에서의 전체적인 노드들의 상대적 위치를 반영한 이동노드들의 밀집도를 효과적으로 계산하는 방법을 제안한다. 제안된 방법은 사물인터넷과 같이 목적, 기능에 따라 최대 통신거리가 동일하지 않은 통신 디바이스들로 구성된 통신망의 밀집도를 계산하는데 잘 활용될 수 있다. 본 논문에서 제안되는 방법은 위치기반서비스, 사물인터넷, 스마트 그리드, 지능형빌딩 시스템 등에 잘 적용될 수 있다.

Keywords

References

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