Abstract | ||
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In wireless sensor networks, various schemes have been proposed to efficiently store and process sensed data. Among them, the data-centric storage (DCS) scheme is one of the most well-known. The DCS scheme distributes data regions and stores the data in the sensor that is responsible for the region. The DCS based scheme was proposed to reduce the communication cost for transmitting data and to efficiently process exact queries and range queries. Recently, a KDDCS scheme was proposed to overcome storage hot-spots by dynamically readjusting the distributed data regions to sensors based on the K-D tree. However, the existing DCS based schemes including KDDCS suffer from query hot-spots that are formed when query regions are not uniformly distributed. As a result, it reduces the lifetime of the sensor network. In this paper, we propose a new DCS based scheme, called Time-Parameterized Data-Centric Storage (TPDCS), that avoids the problems of storage hot-spots and query hot-spots. To decentralize the skewed data and queries, the data regions are assigned by a time dimension as well as data dimensions in our proposed scheme. Therefore, TPDCS extends the lifetime of sensor networks. It is shown through various experiments that our scheme outperforms the existing schemes. |
Year | DOI | Venue |
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2010 | 10.1016/j.ins.2010.08.036 | Inf. Sci. |
Keywords | Field | DocType |
data region,existing scheme,kddcs scheme,dcs scheme,skewed data,query hot-spots,efficient data-centric storage method,proposed scheme,sensor network,storage hot-spots,data dimension,time parameter,dcs | Data centric storage,Computer science,Range query (data structures),Real-time computing,Wireless sensor network,Multiple time dimensions | Journal |
Volume | Issue | ISSN |
180 | 24 | 0020-0255 |
Citations | PageRank | References |
8 | 0.59 | 16 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yonghun Park | 1 | 20 | 4.33 |
Dongmin Seo | 2 | 49 | 10.64 |
Jonghyeon Yun | 3 | 10 | 1.03 |
Christopher T. Ryu | 4 | 13 | 1.45 |
Jun Kim | 5 | 8 | 0.59 |
Jaesoo Yoo | 6 | 123 | 35.63 |