• Title/Summary/Keyword: Machine-Type Communications

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Standardization on Machine Type Communications in 3GPP (3GPP의 Machine Type Communications 표준화 동향)

  • Shin, J.S.;Park, A.S.
    • Electronics and Telecommunications Trends
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    • v.27 no.2
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    • pp.59-69
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    • 2012
  • 모든 사물들을 네트워크를 통해 연결하므로 언제 어디서나 다양한 서비스를 손쉽게 이용할 수 있게 하는 M2M(Machine to Machine)/IoT(Internet of Things)가 차세대 통신을 위한 주요 이슈로 고려되고 있으며, 여러 네트워크 중 이동통신 네트워크를 기반으로 하는 M2M에 대한 관심이 고조되고 있다. UMTS(Universal Mobile Telecom. System), LTE(Long Term Evolution) 등 대표적인 이동통신 시스템을 위한 표준화 단체인 3GPP(3rd Generation Partnership Project)에서는 2005년 M2M을 위한 타당성 연구를 시작으로, 2008년부터 Machine Type Communications(MTC)를 위한 본격적인 표준화 작업이 진행되었으며, 현재 Release 10을 위한 규격 작업을 마무리하고 Release 11 및 12를 위한 표준규격을 작성하고 있다. 본고에서는 3GPP에서 진행하고 있는 MTC의 표준화 현황을 간략히 기술한다.

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Congestion Control Mechanism in Machine Type Communication (Machine Type Communications 혼잡 제어 기술)

  • Youn, Joo-Sang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.184-186
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    • 2011
  • 최근 사물지능통신에 대한 연구가 활발히 진행 중이다. 사물지능통신은 인간의 개입 없이 네트워크를 통해 사물 또는 기기들 사이에서 데이터를 주고 받는 통신으로 정의하고 있다. 사물지능통신을 위한 네트워크 인프라 기술에 대한 논의가 3GPP, ISO, IETF 등에서 활발히 논의 중이다. 더불어 사물지능통신의 응용에 따라서 기반 인프라가 결정될 것으로 보고 있다. 특히 3GPP에서는 LTE 네트워크 기반의 Machine Type Communications 기술 표준 기술이 논의 중이다. 본 논문에서는 사물지능 통신에 사용될 인프라 기술에 대해서 장단점을 정의하고 기존 인프라 기반에서 Machine Type Communications 서비스를 제공할 시 발생할 수 있는 혼잡 상황을 정의하고 이를 해결하기 위한 혼잡 제어 기술을 제안한다.

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An Group-based Security Protocol for Machine Type Communications in LTE-Advanced (LTE-Advanced에서의 Machine Type Communications을 위한 그룹 기반 보안 프로토콜)

  • Choi, Dae-Sung;Choi, Hyoung-Kee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.5
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    • pp.885-896
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    • 2013
  • MTC(Machine Type Communications), providing a variety of services anytime and anywhere by connecting the cellular network to the machine and things without human intervention, is being considered as a major challenge of the next-generation communications. Currently, When a massive MTC devices simultaneously connect to the network, each MTC device needs an independent access authentication process. Because of this process, authentication signaling congestion and overload problems will cause in LTE-Advanced. In this paper, we propose a group-based authentication protocol and a key management protocol. For managing the MTC devices as group units, the proposed protocol elects a group leader and authentications only once with the core network. After the authentication is completed, a group leader manages the rest members and MME(Mobility Management Entity) by constructing a binary tree. Finally, the propose protocol analysis show that the proposed protocol not only can reduces the authentication signaling which generated in between the MTC devices and the core network but also can manages the MTC devices, efficiently.

Converged Mobile Cellular Networks and Wireless Sensor Networks for Machine-to-Machine Communications

  • Shan, Lianhai;Li, Zhenhong;Hu, Honglin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.1
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    • pp.147-161
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    • 2012
  • In recent years, machine-to-machine (M2M) communications are under rapid development to meet the fast-increasing requirements of multi-type wireless services and applications. In order to satisfy M2M communications requirements, heterogeneous networks convergence appears in many areas, i.e., mobile cellular networks (MCNs) and wireless sensor networks (WSNs) are evolving from heterogeneous to converged. In this paper, we introduce the system architecture and application requirement for converged MCN and WSN, where mobile terminals in MCN are acting as both sensor nodes and gateways for WSN. And then, we discuss the joint optimization of converged networks for M2M communications. Finally, we discuss the technical challenges in the converged process of MCN and WSN.

Study on Identifier for Machine Type Communication (Machine Type Communications 식별자 연구)

  • Youn, Joo-Sang;Hong, Yong-Geun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.73-75
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    • 2011
  • 최근 사물지능통신에 대한 연구가 활발히 진행 중이다. 사물지능통신은 인간의 개입 없이 네트워크를 통해 사물 또는 기기들 사이에서 데이터를 주고받는 통신으로 정의하고 있다. 사물지능통신을 위한 네트워크 인프라 기술에 대한 논의가 3GPP, ETSI, IETF 등에서 활발히 논의 중이다. 더불어 사물지능통신의 응용에 따라서 기반 인프라가 결정될 것으로 보고 있다. 특히 3GPP에서는 LTE 네트워크 기반의 Machine Type Communications 기술 표준 기술이 논의 중이다. 본 논문에서는 사물 지능 통신에 사용될 인프라 기술 중 디바이스를 위한 식별자 구조에 대한 연구 동향을 기술하고 새로운 식별자 체계 기술을 제안한다.

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Technical Trend and Improvement of Congestion Control for Machine-to-Machine Communications in 3GPP LTE-A Systems (3GPP LTE-A 시스템에서의 M2M 통신을 위한 혼잡 제어 기술 동향 및 개선 방안)

  • Kim, Jae-Hyun;Kim, Seog-Gyu
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.11
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    • pp.487-494
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    • 2014
  • This paper focuses on an advanced congestion control scheme for M2M(Machine-to-Machine) communications in 3GPP LTE-A standard. A large number of MTC(Machine-type-Communication) devices try to access to LTE-A networks and send data to the networks all at once. In this characteristics, M2M communications will bring the serious network congestion problems into LTE-A cellular networks. To solve this critical problem, a congestion control mechanism will be required and it has been studied since Rel-10 LTE-A systems based on backoff mechanism for mobility management and session management. In this paper, we briefly introduce the main concept and operation about the congestion control scheme in 3GPP LTE-A standard. Also, simulation results for the basic congestion control and advanced congestion control scheme in MTC communication environment are provided and the improvement direction is considered in future 3GPP LTE-A standard.

Maximum Delay-Aware Admission Control for Machine-to-Machine Communications in LTE-Advanced Systems (LTE-Advanced 시스템에서 M2M 통신의 최대 지연시간을 고려한 호 수락 방법)

  • Jun, Kyungkoo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37B no.12
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    • pp.1113-1118
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    • 2012
  • Smart grid and intelligent transportation system draw significant interest since they are considered as one of the green technologies. These systems require a large number of sensors, actuators, and controllers. Also, machine-to-machine (M2M) communications is important because of the automatic control. The LTE-Advanced networks is preparing a set of functions that facilitate the M2M communications, and particularly the development of an efficient call admission control mechanism is critical. A method that groups MTC devices according to QoS constraints and determines the admission depending on the QoS satisfaction is limitedly applied only if the data transmission period and the maximum delay are identical. This paper proposed a call admission control that is free from such limitation and also optimizes the admission process under the certain condition of the transmission period and maximum delay. The theorems regarding the proposed method are presented with the proofs. The simulations confirms its validity and shows it is better in call admission probability than existing works.

Predicting Crop Production for Agricultural Consultation Service

  • Lee, Soong-Hee;Bae, Jae-Yong
    • Journal of information and communication convergence engineering
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    • v.17 no.1
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    • pp.8-13
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    • 2019
  • Smart Farming has been regarded as an important application in information and communications technology (ICT) fields. Selecting crops for cultivation at the pre-production stage is critical for agricultural producers' final profits because over-production and under-production may result in uncountable losses, and it is necessary to predict crop production to prevent these losses. The ITU-T Recommendation for Smart Farming (Y.4450/Y.2238) defines plan/production consultation service at the pre-production stage; this type of service must trace crop production in a predictive way. Several research papers present that machine learning technology can be applied to predict crop production after related data are learned, but these technologies have little to do with standardized ICT services. This paper clarifies the relationship between agricultural consultation services and predicting crop production. A prediction scheme is proposed, and the results confirm the usability and superiority of machine learning for predicting crop production.

Security Issues on Machine to Machine Communications

  • Lai, Chengzhe;Li, Hui;Zhang, Yueyu;Cao, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.2
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    • pp.498-514
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    • 2012
  • Machine to machine (M2M) communications is the hottest issue in the standardization and industry area, it is also defined as machine-type communication (MTC) in release 10 of the 3rd Generation Partnership Project (3GPP). Recently, most research have focused on congestion control, sensing, computing, and controlling technologies and resource management etc., but there are few studies on security aspects. In this paper, we first introduce the threats that exist in M2M system and corresponding solutions according to 3GPP. In addition, we present several new security issues including group access authentication, multiparty authentication and data authentication, and propose corresponding solutions through modifying existing authentication protocols and cryptographic algorithms, such as group authentication and key agreement protocol used to solve group access authentication of M2M, proxy signature for M2M system to tackle authentication issue among multiple entities and aggregate signature used to resolve security of small data transmission in M2M communications.