DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Min Soo | ko |
dc.contributor.author | Son, Jin Hyun | ko |
dc.contributor.author | Kim, Ju Wan | ko |
dc.contributor.author | Kim, Myoung Ho | ko |
dc.date.accessioned | 2013-03-12T09:43:23Z | - |
dc.date.available | 2013-03-12T09:43:23Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2010-06 | - |
dc.identifier.citation | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E93D, no.6, pp.1447 - 1458 | - |
dc.identifier.issn | 0916-8532 | - |
dc.identifier.uri | http://hdl.handle.net/10203/101933 | - |
dc.description.abstract | In the area of wireless sensor networks, the efficient spatial query processing based on the locations of sensor nodes is required. Especially, spatial queries on two sensor networks need a distributed spatial join processing among the sensor networks. Because the distributed spatial join processing causes lots of wireless transmissions in accessing sensor nodes of two sensor networks; our goal of this paper is to reduce the wireless transmissions for the energy efficiency of sensor nodes. In this paper, we propose an energy-efficient distributed spatial join algorithm on two heterogeneous sensor networks, which performs in-network spatial join processing. To optimize the in-network processing, we also propose a Grid-based Rectangle tree (GR-tree) and a grid-based approximation function. The GR-tree reduces the wireless transmissions by supporting a distributed spatial search for sensor nodes. The grid-based approximation function reduces the wireless transmissions by reducing the volume of spatial query objects which should be pushed down to sensor nodes: Finally, we compare naive and existing approaches through extensive experiments and clarify our approach's distinguished features. | - |
dc.language | English | - |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | - |
dc.subject | MIDDLEWARE | - |
dc.subject | DATABASES | - |
dc.title | Energy-Efficient Distributed Spatial Join Processing in Wireless Sensor Networks | - |
dc.type | Article | - |
dc.identifier.wosid | 000279250600014 | - |
dc.identifier.scopusid | 2-s2.0-77953004066 | - |
dc.type.rims | ART | - |
dc.citation.volume | E93D | - |
dc.citation.issue | 6 | - |
dc.citation.beginningpage | 1447 | - |
dc.citation.endingpage | 1458 | - |
dc.citation.publicationname | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
dc.identifier.doi | 10.1587/transinf.E93.D.1447 | - |
dc.contributor.localauthor | Kim, Myoung Ho | - |
dc.contributor.nonIdAuthor | Kim, Min Soo | - |
dc.contributor.nonIdAuthor | Son, Jin Hyun | - |
dc.contributor.nonIdAuthor | Kim, Ju Wan | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | distributed spatial index | - |
dc.subject.keywordAuthor | distributed spatial join | - |
dc.subject.keywordAuthor | in-network query processing | - |
dc.subject.keywordAuthor | wireless sensor network | - |
dc.subject.keywordPlus | MIDDLEWARE | - |
dc.subject.keywordPlus | DATABASES | - |
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