KIPS Transactions on Computer and Communication Systems (정보처리학회논문지:컴퓨터 및 통신 시스템)

Korea Information Processing Society (한국정보처리학회)
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Optimized Handoff Scheme with Fuzzy logic in Heterogeneous Vehicular Mobile Networks

이종의 차량 모바일 네트워크에서 퍼지 로직을 이용한 최적의 핸드오프 기법

  • 노영삼 (성균관대학교 정보통신대학원 컴퓨터공학과) ;
  • 정종필 (성균관대학교 산학협력단)
  • Received : 2012.08.02
  • Accepted : 2012.08.09
  • Published : 2012.10.30
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Abstract

The development of wireless communication systems has resulted in the availability of several access technologies at any geographic area, such as 3G networks, wireless local area networks (WLANs) and wireless broadband networks. The development of these technologies is provided for users who have experienced mobile network environments which are slow or fast-movement environment and change distance between the AP(Access Point). This paper describes network performance issues in various environmental changes. Also, Fuzzy logic is applied to evaluate the performance in vehicle networks around users' environmental factors to focusing on the minimizing of transfer time and costs. First, WLAN and 3G networks fixed distance between AP, Second, WLAN and 3G networks random distance between APs, finally above two environmental with vehicle Ad hoc networks is analyzed. These V2I and V2V environmental condition are assumed. Results which based on Fuzzy logic suggest an optimal performance in vehicle network environments according to vehicle speed and distance between APs. Proposed algorithm shows 21% and 13% improvement of networks performance in V2I and V2V environment.

무선 통신 시스템의 개발에 의해 한 지역에서 3G 네트워크와 WLAN, 무선 광대역 네트워크와 같은 여러 무선 네트워크 접속 기술들이 사용 가능하게 되었다. 이러한 기술의 발달로 사용자는 저속 또는 고속으로 이동하는 환경과 AP(Access Point)간 거리 변화에 따른 다양한 환경에서 차량용 모바일 네트워크 환경을 경험하고 있다. 본 논문에서는 다양한 환경 변화에 따른 네트워크 성능 문제를 다루고 있다. 전송 시간이나 전송 비용을 최소화하는데 중점을 두고, 퍼지 로직을 적용해 주변환경 요소에 따른 성능 평가를 한다. 먼저 WLAN과 고정 거리간 AP를 가지는 3G 네트워크로 구성된 환경과 WLAN과 무작위 거리에 있는 AP(Access Points)를 가지는 3G 네트워크로 구성된 환경, 그리고 위 두 환경에서 차량용 Ad hoc 네트워크를 사용한 환경에서의 성능을 분석한다. 이는 V2I(Vehicle to Infrastructure) / V2V(Vehicle to Vehicle) 환경을 가정한 상황이다. 퍼지 로직을 적용한 연구 결과를 바탕으로 차량의 이동 속도와 APs간의 거리에 따른 차량용 네트워크의 최적화 방향이 되는 환경을 제안한다. 제안된 알고리즘을 적용하였을 경우, V2I와 V2V환경에서 네트워크 성능은 각각 21%/ 13%가 향상되는 결과를 보였다.

Keywords

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