• Title/Summary/Keyword: region monitoring query

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Continuous K-Nearest Neighbor Query Processing Considering Peer Mobilities in Mobile P2P Networks (모바일 P2P 네트워크에서 피어의 이동성을 고려한 연속적인 k-최근접 질의 처리)

  • Bok, Kyoung-Soo;Lee, Hyun-Jung;Park, Young-Hun;Yoo, Jae-Soo
    • The Journal of the Korea Contents Association
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    • v.12 no.8
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    • pp.47-58
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    • 2012
  • In this paper, we propose a continuous k-nearest neighborhood query processing method for updating the query results in real-time over mobile peer-to-peer environments. The proposed method disseminates a monitoring region to efficiently monitor the k-nearest neighbor peers. The Monitoring Region is created to assure at least k peers as the result of the query within the time range using the vector of neighbor peers. In the propose method, the monitoring region is valid for a long time because it is calculated by the vector of neighbor peers of the query peer. Therefore, the proposed method decreases the cost of re-processing by monitoring region invalidation. In order to show the superiority of the proposed method, we compare it with the previous schemes through performance evaluation.

A Spatial Split Method for Processing of Region Monitoring Queries (영역 모니터링 질의 처리를 위한 공간 분할 기법)

  • Chung, Jaewoo;Jung, HaRim;Kim, Ung-Mo
    • Journal of Internet Computing and Services
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    • v.19 no.1
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    • pp.67-76
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    • 2018
  • This paper addresses the problem of efficient processing of region monitoring queries. The centralized methods used for existing region monitoring query processing assumes that the mobile object periodically sends location-updates to the server and the server continues to update the query results. However, a large amount of location updates seriously degrade the system performance. Recently, some distributed methods have been proposed for region monitoring query processing. In the distributed methods, the server allocates to all objects i) a resident domain that is a subspace of the workspace, and ii) a number of nearby query regions. All moving objects send location updates to the server only when they leave the resident domain or cross the boundary of the query region. In order to allocate the resident domain to the moving object along with the nearby query region, we use a query index structure that is constructed by splitting the workspace recursively into equal halves. However, However, the above index structure causes unnecessary division, resulting in deterioration of system performance. In this paper, we propose an adaptive split method to reduce unnecessary splitting. The workspace splitting is dynamically allocated i) considering the spatial relationship between the query region and the resultant subspace, and ii) the distribution of the query region. We proposed an enhanced QR-tree with a new splitting method. Through a set of simulations, we verify the efficiency of the proposed split methods.

Monitoring Continuous k-Nearest Neighbor Queries, using c-MBR

  • Jung Ha-Rim;Kang Sang-Won;Song Moon-Bae;Im Seok-Jin;Kim Jong-Wan;Hwang Chong-Sun
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06c
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    • pp.46-48
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    • 2006
  • This paper addresses the problem of monitoring continuous k-nearest neighbor (k-NN) queries. Given a set of moving (or static) objects and a set of moving (or static) query points, monitoring continuous k-NN query retrieves and updates the closest k objects to a query point continually. In order to support location based services (LBSs) in highly dynamic environments, where objects and/or queries are frequently moving, monitoring continuous queries require real-time updated results when objects and/or queries change their locations. Thus, it is important to minimize time delay for maintaining up to date the results. In this paper, we present monitoring method to shorten time delay for updating continuous k-NN queries based on the notion of result region and the minimum bounding rectangle enclosing all objects in each cell, referred to as c-MBR, in the grid index structure. Simulations are conducted to show the efficiency of the proposed method.

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Continuous Query Modelling for Various Kinds of Monitoring Services for Stream Data (다양한 응용의 스트림 데이터 모니터링을 위한 연속질의 모델링)

  • Cho, Dae-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.7
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    • pp.1525-1530
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    • 2011
  • Techniques for processing continuous queries are required to developing the various types of application services (monitoring services) in ubiquitous environment where the real-time data acquisition from a lot of sensors, analysis, and processing are required. In the previous works of the continuous queries, they have represented all of the continuous queries as the interval queries or region queries, and proposed some methods for processing theses queries. The types of continuous queries, however, are very various, and could be presented by combining the attribute conditions, spatial conditions, and temporal conditions. In this paper, I have classify the types of continuous queries, and have proposed the continuous query model which could be presented by combining those conditions. The contributions of this paper include that it proposes the query model representing the continuous queries and suggests future research directions.

Energy Efficient In-network Density Query Processing in Wireless Sensor Networks (무선 센서 네트워크에서 에너지 효율적인 인-네트워크 밀도 질의 처리)

  • Lee, Ji-Hee;Seong, Dong-Ook;Kang, Gwang-Goo;Yoo, Jae-Soo
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.12
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    • pp.1234-1238
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    • 2010
  • In recent, there have been done many studies on applications that monitor the information of mobile objects using Wireless Sensor Networks (WSN). A density query that finds out an area spread by density that a target object requires in the whole sensing field is a field of object monitoring applications. In this paper, we propose a novel homogeneous network-based in-network density query processing scheme that significantly reduces query processing costs and assures high accuracy. This scheme is based on the possibility-based expected region selection technique and the result compensation technique in order to enhance the accuracy of the density query and to minimize its energy consumption. To show the superiority of our proposed scheme, we compare it with the existing density query processing scheme. As a result, our proposed scheme reduces about 92% energy consumption for query processing, while its network lifetime increases compared to the existing scheme. In addition, the proposed scheme guarantees higher accuracy than the existing scheme in terms of the query result.

A Continuous k-Nearest Neighbor Query Processing Method in Mobile P2P Environments (이동 P2P 환경에서 연속적인 k-최근접 질의 처리 기법)

  • Lee, hyun-jung;Bok, kyoung-soo;Park, yong-hun;Lim, jong-tae;Lee, sang-kyu;Yoo, jae-soo
    • Proceedings of the Korea Contents Association Conference
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    • 2012.05a
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    • pp.15-16
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    • 2012
  • 본 논문에서는 이동 P2P 환경에서 연속적인 서비스 제공을 위한 k-최근접 질의 처리 기법을 제안한다. 제안하는 기법은 질의 피어와 근접한 k개의 피어를 효율적으로 모니터링하기 위하여 MR(Monitoring-Region)을 배포한다. MR은 주변 피어들의 이동 벡터를 이용하여 시간 범위 내에서 최소 k개의 질의 결과를 보장하기 위해 만들어진 영역이다. 제안하는 기법은 주변 피어들의 벡터를 이용하여 MR을 계산하기 때문에 장시간 유효하며 MR 영역의 무효화에 따른 질의 재수행 비용을 절약한다. 제안하는 기법의 우수성을 입증하기 위해 기존 기법과의 성능평가를 수행한다.

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