• Journal of Information Processing Systems
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• 제13권5호
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• pp.1410-1429
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• 2017

Mobility arises naturally in the Internet of Things networks, since the location of mobile objects, e.g., mobile agents, mobile software, mobile things, or users with wireless hardware, changes as they move. Tracking their current location is essential to mobile computing. To overcome the scalability problem, hierarchical architectures of location databases have been proposed. When location updates and lookups for mobile objects are localized, these architectures become effective. However, the network signaling costs and the execution number of database operations increase particularly when the scale of the architectures and the numbers of databases becomes large to accommodate a great number of objects. This disadvantage can be alleviated by a location caching scheme which exploits the spatial and temporal locality in location lookup. In this paper, we propose a hierarchical location caching scheme, which acclimates the existing location caching scheme to a hierarchical architecture of location databases. The performance analysis indicates that the adjustment of such thresholds has an impact on cost reduction in the proposed scheme.

• 한국정보시스템학회지:정보시스템연구
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• 제14권3호
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• pp.17-22
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• 2005

Location management is very important in location-based services to provide services to the mobile users like banking, city guides and many more. Ubiquitous and mobile devices are the source of data in location management and its significant operations are update and search method. Some studies to improve these were presented by using optimal sequential paging, location area scheme and hierarchical database scheme. In addition, not all location services have the same access methods on data and it lead to difficulties of providing services. A proposed location management of multi-agent architecture is presented in this study. It shows the coordination of the agents on the distributed database of location-based services. The proposal focuses on the location management of the mobile object presented in a hierarchical search and update. Also, it uses a nearest neighbor technique for efficient search method of mobile objects.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2007년도 추계학술대회 및 정기총회
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• pp.316-321
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• 2007

The hierarchical covering location problem emphasizes the issue of locating of hierarchical facilities in order to maximize the number of customers that can be covered. In the classical HCLP(Hierarchical Covering Location Problem), it is assumed that the customers are covered completely if they are located within a specific distance from the facility, and not covered otherwise. The generalized HCLP is introduced that the coverage of customers is measured to be any real value rather than 0 or 1, where the service level may decrease according to the distance. Mixed integer programming formulation for the generalized HCLP is suggested with a partial coverage of service. Solutions are found using OPL Studio, and are evaluated for various cases.

• 한국멀티미디어학회논문지
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• 제4권2호
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• pp.161-170
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• 2001

미래 이동 통신 시스템에서 중요한 기술적인 문제 중의 하나는 사용자와 단말기의 위치 관리 기술과 핸드오프 기술을 포함하는 이동성 관리 기술이다 본 논문에서는 IMT-2000 환경에 적합한 계층적 분산 동적 위치 관리 방법을 제안한다. 제안하는 방법에서는 위치 레지스터들로 클러스터를 구성하고, 그 클러스터들을 계층구조로 형성한다. 각 계층별 협동하는 다른 위치 관리 정책을 사용할 뿐만 아니라 다른 셀의 이동 단말기로부터의 국부 이동 단말기의 위치 질의 빈도를 고려한 위치 갱신 알고리즘을 사용한다. 그리고 분석적 모델을 통하여 제안하는 방법의 성능을 평가한다.

• 한국멀티미디어학회논문지
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• 제25권8호
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• pp.1069-1074
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• 2022

IP mobility can be handled in different layers of the protocol. Mobile IP has been proposed to handle the mobility of Internet hosts in the network layer. Recently, a new method based on the SIGMA mobility architecture has been proposed to support mobility management with reduced packet loss and latency. The location management structure is not suitable for frequent mobile handover due to the high mobility of the user with this transport layer solution. In this paper, we propose a location management optimization method in a mobile communication network by applying hierarchical location management using MMPs(Mobility Management Points) for transport layer mobility management. Therefore, we propose an efficient hierarchical mobility management structure even between heterogeneous wireless networks using MMPs for the probability that a mobile terminal can change multiple location areas between two messages and calls. The proposed method shows reduction in location update cost and data retrieval cost using MMPs, and as opposed to mobility appearing in time intervals with the minimum cost required to reach 90% of the stabilized cost, the mobility location update search, location It was found that the message processing cost per area was reduced.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1090-1093
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• 2002

Location management schemes dealing with location information of moving terminals play an important role in the personal communications systems (PCS). Since the location management involves heavy signaling traffics to update the location information, reducing the location update cost becomes a critical research issue. This paper proposes a location management scheme which reduces the location update cost by employing the hierarchical structure in PCS environment. The paper also develops analytical models to evaluate the performance of the proposed scheme. The results obtained from the performance evaluation shows that the proposed scheme outperforms the conventional schemes in terms of the location update rates. Also, the difference in the performance becomes larger as the size of the location area (LA) becomes smaller and as the residual time of the mobile user becomes smaller.

• Journal of the Korean Data and Information Science Society
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• 제18권3호
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• pp.757-766
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• 2007

Location services are used in mobile ad hoc and hybrid networks to locate either the geographic position of a given node in the network or a data item. One of the main usages of position location services is presented in location based routing algorithms. In particular, geographic routing protocols can route messages more efficiently to their destinations based on the destination node's geographic position, which is provided by a location service. In this paper, we propose an adaptive location service on the basis of fuzzy logic called FHLS (Fuzzy Hierarchical Location Service) for mobile ad hoc networks. The adaptive location update scheme using the fuzzy logic on the basis of the mobility and the call preference of mobile nodes is used by the FHLS. The performance of the FHLS is to be evaluated by a simulation, and compared with that of existing HLS scheme.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2002년도 가을 학술발표논문집 Vol.29 No.2 (3)
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• pp.661-663
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• 2002

This paper introduces a dynamic location management with hierarchical location area, which helps in reducing location update(LU) and paging cost and hence total location management cost. Users are assigned to appropriate location area level utilizing the call-to-mobility ratio(CMR) value. CMR values are calculated each time a user enters a new cell by computing its mobility rate and incoming call rate, which are the two key factors for defining the size of the location area.

• 한국전자통신학회논문지
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• 제8권8호
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• pp.1155-1160
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• 2013

최근 스마트 폰 이용자 수가 증가하면서 다양한 위치 기반 서비스들이 주목을 받고 있다. 위치 기반 서비스는 사용자의 위치와 시스템이 가지고 있는 다양한 정보를 결합하여 사용자에게 유용한 정보를 전달해 주기도 하지만 이로 인한 개인 정보의 침해 가능성 역시 높은 것이 사실이다. 최근의 위치 기반 서비스에서의 프라이버시 관련 연구는 K-anonymity를 만족하는 Cloaking 영역 생성에 중점을 두고 있다. 본 논문에서는 위치 기반 서비스를 위한 계층 클러스터 기반 Cloaking 알고리즘을 제안한다. 제안 기법은 약간 변형된 응집 계층 클러스터링 기법을 사용해서 트리를 생성한 뒤, Reciprocity 성질을 만족시키는 Cloaking 영역을 생성한다. 제안 기법은 Reciprocity 성질을 만족시키며, Hilbert Cloak보다 작고 RC-AR과 비슷한 크기의 영역을 생성하며, 생성 속도는 Hilbert Cloak과 비슷하며 RC-AR보다는 훨씬 빠르다.

• International Journal of Internet, Broadcasting and Communication
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• 제14권4호
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• pp.88-95
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• 2022

Detecting anomalies in human movement is an important task in industrial applications, such as monitoring industrial disasters or accidents and recognizing unauthorized factory intruders. In this paper, we propose an abnormal worker movement detection system based on data stream processing and hierarchical clustering. In the proposed system, Apache Spark is used for streaming the location data of people. A hierarchical clustering-based anomalous trajectory detection algorithm is designed for detecting anomalies in human movement. The algorithm is integrated into Apache Spark for detecting anomalies from location data. Specifically, the location information is streamed to Apache Spark using the message queuing telemetry transport protocol. Then, Apache Spark processes and stores location data in a data frame. When there is a request from a client, the processed data in the data frame is taken and put into the proposed algorithm for detecting anomalies. A real mobility trace of people is used to evaluate the proposed system. The obtained results show that the system has high performance and can be used for a wide range of industrial applications.