• Annual Conference of KIPS
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• 2018.05a
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• pp.69-72
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• 2018

최근 5G 네트워크의 출현은 전송속도의 진화에 따라 서비스를 확장하고 있는 추세이다. 네트워크에서 사용하는 단말의 수가 증가하며, 단말에서 사용하고 있는 서비스 수는 다양해지고 있다. 이러한 점은 이동성관리 연구가 필수적이며 다양한 기존 연구들이 있다. 하지만 기존 연구에서는 handover delay로 인한 QoE 저하 문제, 활성 링크 수 증가로 인한 패킷 손실 및 네트워크 자원 부족 문제점이 발생을 한다. 이러한 점을 해결하기 위해 단말에서 사용하는 flow 타입을 실시간과 비실시간 서비스로 구별한다. 이동성 요구사항을 필요로 하는 실시간 서비스 앵커를 설정하는 동작과정을 수행하여 라우팅의 경로를 최소화하여 네트워크에서 발생하는 여러 가지 문제점들을 해결한다. 본 논문에서는 수학적 수식을 통한 성능평가를 통해 기존 SDN 기반 이동성관리 보다 제안하는 아이디어가 handover delay 시간을 50% 줄일 수 있다는 점을 확인하였다.

• Journal of Internet Computing and Services
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• v.12 no.3
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• pp.101-110
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• 2011

WMN is highlighted as a next generation network technology due to relatively reasonable cost to be built, compared with the pre-existing wireless network. It also enables same kind of network or even other kind of network to be integrated. Some WMN researches support mobility using router protocol such as AODV and DSR because WMN has the similar features with Ad-hoc network in terms of operation. However, WMN has got different operations with additional functions of multi-interface and internet connect, it can't be a good method to manage efficient mobility any more. This study suggests method to apply MAP function of HMIPv6 to WMN as a way to manage WMN mobility. Through simulation, operation was verified and function was appreciated. Through the results of evaluation, the suggest mobility management had shorter handover delay and packet loss reduced, which improved whole network throughput rate, compared with mobility management using AODV.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.5
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• pp.121-133
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• 2013

Defect-free transfer service on the Next-generation wireless network extensive roaming mobile node (MN) to provide efficient mobility management has become very important. MIPv6(Mobility IPv6) is one of mobility management scheme proposed by IETF(Internet Engineering Task Force), and IPv6-based mobility management techniques have been developed in various forms. One of each management techniques, IPv6-based mobility management techniques for PMIPv6 (MIPv6) system to improve the performance of a variety of F-PMIPv6 (Fast Handover for Proxy MIPv6) is proposed. However, the F-PMIPv6 is cannot be excellent than PMIPv6 in all scenarios. Therefor, to select a proper mobility management scheme between PMIPv6 and F-PMIPv6 becomes an interesting issue, for its potenrials in enhancing the capacity and scalability of the system. In this paper, we develop an analytical model to analyze the applicability of PMIPv6 and F-PMIPv6. Based on this model, we design an Secure Smart Mobility Support(SSM) scheme that selects the better alternative between PMIPv6 and F-PMIPv6 for a user according to its changing mobility and service characteristics. When F-PMIPv6 is adopted, SSM chooses the best mobility anchor point and regional size to optimize the system performance. Numerical results illustrate the impact of some key parameters on the applicability of PMIPv6 and F-PMIPv6. Finally, SSM has proven even better result than PMIPv6 and F-PMIPv6.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.1B
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• pp.67-73
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• 2009

This paper proposes a new fast vertical handover mechanism to optimize and enhance the existing fast vertical handover HMIPv6(FV-HMIP) mechanism in heterogeneous wireless access networks. The proposed mechanism ad opts the IEEE 802.21 Media Independent Handover Function(MIHF), and thus is called the "MFV-HMIP". The Media Independent Handover Service (MIIS) in the IEEE 802.21 MIHF is extended by including new L3 inform ation to provide domain prefixes of heterogeneous neighbouring mobility anchor points(MAPs). This can eliminate the heterogeneous neighbouring MAP discovery phase in the existing FV-HMIP. Thus, the proposed MFV-HMIP can reduce the signalling traffic over wireless link and increase the possibility of predictive mode operation. Therefore, the proposed MFV-HMIP mechanism can be superior to the existing FV-HMIP mechanism for wireless resource efficiency, handover latency, and packet loss. Through analytic performance evaluations and computer si mulations, the proposed mechanism can be shown to optimize and enhance the existing mechanism.