Systolic Query Processing for Aggregation in Sensor Networks

Pandey, Suraj; Kim, Hoseok; Eo, Sang Hun; Bae, Hae Young

doi:10.1007/11833529_55

Cited by 1 publication

(2 citation statements)

References 14 publications

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“…However, the sensor nodes in queried ranges are closed to each other but they can't aggregate the sensed value in a queried range because their query transmission paths are different. As a result, the previous methods waste energy unnecessarily to aggregate sensing data out of the queried range [8][9][10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

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An Energy Efficient Adaptive Back Forwarding Method for Spatial Range Query Processing in Sensor Networks

Lee

et al. 2008

2008 International Conference on Advanced Language Processing and Web Information Technology

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In this paper, an energy efficient adaptive back forwarding method is proposed for spatial range query processing in ubiquitous sensor networks. In order to execute spatial range query efficiently in sensor networks, many rectangle based index methods are researched, such as SPIX method. This kind of method is efficient to transmit user queries to the queried range, but it defines the sensor nodes' results return path as the opposite path of its query transmit path. As a result, the energy used in query results return path is as same as the queries transmit process. In this paper, query result back forwarding method is proposed by rearranging the query results transmit route to aggregate the result data in queried range adaptively. By using the proposed method the energy cost in the query result transmits process is reduced and the spatial range queries are processed energy efficiently. In the performance evaluation, the proposed method decreased the energy cost efficiently while processing the different kinds of spatial range queries.

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Section: Introductionmentioning

confidence: 99%

“…By using the advantages of these tow kinds of method, the tree index method is studied over the sensor nodes such as DSTree, SRT, SPIX [13][14][15][16][17][18]. These methods construct the MBR(minimum bounded rectangle) based tree to minimize the number of sensor nodes that attended the spatial query.…”

Section: Introductionmentioning

confidence: 99%

An Energy Efficient Adaptive Back Forwarding Method for Spatial Range Query Processing in Sensor Networks

Lee

et al. 2008

2008 International Conference on Advanced Language Processing and Web Information Technology

View full text Add to dashboard Cite

show abstract

Systolic Query Processing for Aggregation in Sensor Networks

Cited by 1 publication

References 14 publications

An Energy Efficient Adaptive Back Forwarding Method for Spatial Range Query Processing in Sensor Networks

An Energy Efficient Adaptive Back Forwarding Method for Spatial Range Query Processing in Sensor Networks

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