• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권2호
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• pp.473-493
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• 2019

5G vehicular communication is one of key enablers in next generation intelligent transportation system (ITS), that require ultra-reliable and low latency communication (URLLC). To meet this requirement, a new hybrid vehicular network structure which supports both centralized network structure and distributed structure is proposed in this paper. Based on the proposed network structure, a new vehicular network utility model considering the latency and reliability in vehicular networks is developed based on Euclidean norm theory. Building on the Pareto improvement theory in economics, a vehicular network uplink optimization algorithm is proposed to optimize the uplink utility of vehicles on the roads. Simulation results show that the proposed scheme can significantly improve the uplink vehicular network utility in vehicular networks to meet the URLLC requirements.

• 한국전자통신학회논문지
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• 제7권5호
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• pp.1229-1234
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• 2012

차량통신은 통신시스템과 차량산업을 융합하여 ITS (Intelligent Transport Systems)분야에서 다양한 서비스 제공을 위해 고려되어져 왔다. 일반적으로 차량통신은 WAVE (Wireless Access in Vehicular Environments)라고 알려져 있는 IEEE 802.11p/1609표준을 채택하여 차량간 통신 및 차량-노변기지국간 통신에 이용된다. WAVE 시스템은 OFDM (Orthogonal Frequency Division Multiplexing) 신호를 5.9GHz대의 주파수를 사용하여 신호를 전송하는 시스템이다. 본 논문에서는 차량통신 영역 중 물리계층의 이슈들에 관하여 논의한다. 먼저 WAVE 표준의 물리계층과 5.9GHz대의 신호의 특성에 대해 살펴본 후 신뢰성 있는 통신링크 제공을 위해 물리계층에서 개선되어야할 점에 대해 논의한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권2호
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• pp.529-546
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• 2012

To address the need for autonomous control of remote and distributed mobile systems, Machine-to-Machine (M2M) communications are rapidly gaining attention from both academia and industry. M2M communications have recently been deployed in smart grid, home networking, health care, and vehicular networking environments. This paper focuses on M2M communications in the vehicular networking context and investigates areas where M2M principles can improve vehicular networking. Since connected vehicles are essentially a network of machines that are communicating, preferably autonomously, vehicular networks can benefit a lot from M2M communications support. The M2M paradigm enhances vehicular networking by supporting large-scale deployment of devices, cross-platform networking, autonomous monitoring and control, visualization of the system and measurements, and security. We also present some of the challenges that still need to be addressed to fully enable M2M support in the vehicular networking environment. Of these, component standardization and data security management are considered to be the most significant challenges.

• Journal of Communications and Networks
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• 제15권2호
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• pp.122-131
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• 2013

We address the problem of effective vehicular routing in hostile scenarios where malicious nodes intend to jeopardize the delivery of messages. Compromised vehicles can severely affect the performance of the network by a number of attacks, such as selectively dropping messages, manipulating them on the fly, and the likes. One of the best performing solutions that has been used in static wireless sensor networks to deal with these attacks is based on the concept of watchdog nodes (also known as guard nodes) that collaborate to continue the forwarding of data packets in case a malicious behavior in a neighbor node is detected. In this work, we consider the beacon-less routing algorithm for vehicular environments routing protocol, which has been previously shown to perform very well in vehicular networks, and analyze whether a similar solution would be feasible for vehicular environments. Our simulation results in an urban scenario show that watchdog nodes are able to avoid up to a 50% of packet drops across different network densities and for different number of attackers, without introducing a significant increase in terms of control overhead. However, the overall performance of the routing protocol is still far from optimal. Thus, in the case of vehicular networks, watchdog nodes alone are not able to completely alleviate these security threats.

• 한국전자통신학회논문지
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• 제9권9호
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• pp.1057-1062
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• 2014

차량통신시스템은 차량/도로기술과 정보통신기술을 접목하여 다양한 안전메시지를 전송하거나 지능형 교통시스템에 적용이 가능하다. 본 논문에서는 IEEE 802.11p를 기반으로 한 차량통신시스템을 소개하고 이 시스템의 전파특성을 도심환경에서 측정한 결과를 보인다. 전파특성은 패킷오류율과 수신스펙트럼을 이용하여 측정한다. 이 결과를 바탕으로 하여 실제 서비스 적용에 있어서 필요한 구현 이슈에 대해 논의한다.

• 한국전자통신학회논문지
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• 제8권10호
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• pp.1589-1594
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• 2013

차량통신은 IT기술과 차량산업을 결합한 대표적인 융합기술이다. WAVE 기술은 전 세계적으로 널리 채택되어 사용되어지고 있는 차량통신 표준이다. 본 논문에서는 WAVE 시스템 이용하여 실제 테스트베드상에서 구현한 서비스에 대해 소개한다. 먼저 전체적인 WAVE 시스템에 대해 간략히 살펴본 후 서비스를 구현하기 위한 테트스베드에 대해 소개하고, 테스트베드상에서 구현된 차량간통신 및 차량 기지국간통신을 이용한 다양한 응용 서비스에 대해 알아본다. 실제 응용 서비스의 구현을 바탕으로 하여 실제 시스템 구현에 필요한 사항 및 다른 분야와의 융합분야에 대해서도 논의한다.

• 정보와 통신
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• 제31권3호
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• pp.103-116
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• 2014

This paper proposes the design of Vehicular Cyber-Physical Systems (called VCPS) based on vehicular cloud for smart road networks. Our VCPS realizes mobile cloud computing services where vehicles themselves or mobile devices (e.g., smartphones and tablets of drivers or passengers in vehicles) play a role of both cloud server and cloud client in the vehicular cloud. First, this paper describes the architecture of vehicular networks for VCPS and the delay modeling for the event prediction and data delivery, such as a mobile node's travel delay along its navigation path and the packet delivery delay in vehicular networks. Second, the paper explains two VCPS applications as smart road services for the driving efficiency and safety through the vehicular cloud, such as interactive navigation and pedestrian protection. Last, the paper discusses further research issues for VCPS for smart road networks.

• Journal of Communications and Networks
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• 제15권2호
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• pp.207-216
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• 2013

Vehicular ad-hoc networks (VANETs) are self-organizing, self-healing networks which provide wireless communication among vehicular and roadside devices. Applications in such networks can take advantage of the use of simultaneous connections, thereby maximizing the throughput and lowering latency. In order to take advantage of all radio interfaces of the vehicle and to provide good quality of service for vehicular applications, we developed a seamless flow mobility management architecture based on vehicular network application classes with network-based mobility management. Our goal is to minimize the time of flow connection exchange in order to comply with the minimum requirements of vehicular application classes, as well as to maximize their throughput. Network simulator (NS-3) simulations were performed to analyse the behaviour of our architecture by comparing it with other three scenarios. As a result of this work, we observed that the proposed architecture presented a low handover time, with lower packet loss and lower delay.

• 한국인터넷방송통신학회논문지
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• 제11권2호
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• pp.237-244
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• 2011

차량통신은 통신기술과 도로/자동차기술을 융합함으로써 응용분야를 확장해왔으며, 여러 응용분야 중 중요한 한 가지가 스마트하이웨이 프로젝트이다. 스마트하이웨이는 현재의 고속도로 시스템에서 정시성, 안전성 및 편의성을 향상시킨 진보된 차세대 고속도로이다. 본 논문에서는 차량통신을 위한 무선전송기술을 스마트하이웨이에 중점을 두고 소개한다. 먼저 전제적인 통신시스템의 구조 및 기본적인 서비스/통신 요구사항에 대해 소개한 후 L2레벨 핸드오버 및 무선전송기술에 대해 논의한다. 마지막으로 WAVE시스템을 이용한 기본시험결과에 대해서도 소개한다.

• Journal of information and communication convergence engineering
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• 제12권1호
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• pp.26-32
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• 2014

Vehicular-to-anything (V2X) technology is attractive for wireless vehicular ad-hoc networks (VANETs) because it allows for opportunistic choice of a vehicular protocol between vehicular-to-vehicular (V2V) and vehicular-to-infrastructure (V2I) communications. In particular, achieving seamless connectivity in a VANET with nearby network infrastructure is challenging. In this paper, we propose a density-based opportunistic broadcasting (DOB) protocol, in which opportunistic connectivity is carried out by using the nearby infrastructure and opposite vehicles for solving the problems of disconnection and long end-to-end delay times. The performance evaluation results indicate that the proposed DOB protocol outperforms the considered comparative conventional schemes, i.e., the shortest path protocol and standard mobile WiMAX, in terms of the average end-to-end delay, packet delivery ratio, handover latency, and number of lost packets.