• Title/Summary/Keyword: 트라젝토리

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A Data Centric Storage based on Adaptive Local Trajectory for Sensor Networks (센서네트워크를 위한 적응적 지역 트라젝토리 기반의 데이터 저장소 기법)

  • Lim, Hwa-Jung;Lee, Joa-Hyoung;Yang, Dong-Il;Tscha, Yeong-Hwan;Lee, Heon-Guil
    • The KIPS Transactions:PartC
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    • v.15C no.1
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    • pp.19-30
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    • 2008
  • Sensor nodes are used as a storage space in the data centric storage method for sensor networks. Sensor nodes save the data to the node which is computed by hash table and users also access to the node to get the data by using hash table. One of the problems which the data centric storage method has is that queries from many users who are interested in the popular data could be concentrated to one node. In this case, responses for queries could be delayed and the energy of heavy loaded node could be dissipated fast. This would lead to reduction of network life time. In this paper, ALT, Data Centric Storage based on Adaptive Local Trajectory, is proposed as scalable data centric storage method for sensor network. ALT constructs trajectory around the storage node. The scope of trajectory is increased or decreased based on the query frequency. ALT distributes the query processing loads to several nodes so that delay of response is reduced and energy dissipation is also distributed.

An Proxy Trajectory Based Storage in Sensor Networks (센서네트워크에서의 프록시 트라젝토리 기반 데이터 저장 기법)

  • Lim, Hwa-Jung;Lee, Heon-Guil
    • The KIPS Transactions:PartC
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    • v.15C no.6
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    • pp.513-522
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    • 2008
  • Efficient data dissemination is one of the important subjects for sensor networks. High accessibility of the sensed data can be kept by deploying the data centric storage approach in which data is stored over the nodes in the sensor network itself rather than external storages or systems. The advantage of this approach is its direct accessibility in a real-time without the severe burden on delay and power dissipation on the data path to the external storages or systems. However, if the queries from many users are concentrated to the few nodes with data, then the response time could be increased and it could lead to the reduction of network life time by rapid energy dissipation caused by concentrated network load. In this paper, we propose a adaptive data centric storage scheme based on proxy trajectory (APT) mechanism. We highlight the data centric storage mechanism by taking account of supporting large number of users, and make it feasible to provide high-performance accessibility when a non-uniform traffic pattern is offered. Storing data around the localized users by considering spatial data-access locality, the proxy trajectory of APT provides fast response for the users. The trajectory, furthermore, may help the mobile users to roams freely within the area they dwell.