Snapshot density queries on location sensors

Xuegang Huang; Hua Lu

doi:10.1145/1254850.1254864

Snapshot density queries on location sensors

Xuegang Huang
, Hua Lu

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

6 Citations (Scopus)

Abstract

Density queries are of practical importance in many mobility related applications. In this paper, we employ the location sensors, which are placed in a geographical area and can only detect the amount of objects moving in vicinity, to estimate the dense regions of objects. Our approach partitions the region of interest into subregions, and deploys in each subregion both location sensors and a processing node that issues and answers density queries. Three algorithms are proposed to process density queries on those processing nodes. Their accuracy and efficiency are empirically evaluated

Original language	English
Title of host publication	MobiDE '07 : Proceedings of the 6th ACM international workshop on Data engineering for wireless and mobile access
Editors	Peter Scheuermann, Wang-Chien Lee, George Samaras, Dik Lun Lee
Number of pages	4
Publisher	Association for Computing Machinery
Publication date	2007
Pages	75-78
ISBN (Print)	978-1-59593-765-0
DOIs	https://doi.org/10.1145/1254850.1254864
Publication status	Published - 2007
Externally published	Yes
Event	6th ACM international workshop on Data engineering for wireless and mobile access - Beijing, China Duration: 10 Jun 2007 → 10 Jun 2007 Conference number: 6

Workshop

Workshop	6th ACM international workshop on Data engineering for wireless and mobile access
Number	6
Country/Territory	China
City	Beijing
Period	10/06/2007 → 10/06/2007

Access to Document

10.1145/1254850.1254864

Citation Styles

@inproceedings{70d9367cfe314165a6bf4da1b0309cdb,

title = "Snapshot density queries on location sensors",

abstract = "Density queries are of practical importance in many mobility related applications. In this paper, we employ the location sensors, which are placed in a geographical area and can only detect the amount of objects moving in vicinity, to estimate the dense regions of objects. Our approach partitions the region of interest into subregions, and deploys in each subregion both location sensors and a processing node that issues and answers density queries. Three algorithms are proposed to process density queries on those processing nodes. Their accuracy and efficiency are empirically evaluated",

author = "Xuegang Huang and Hua Lu",

year = "2007",

doi = "10.1145/1254850.1254864",

language = "English",

isbn = "978-1-59593-765-0",

pages = "75--78",

editor = "Peter Scheuermann and Wang-Chien Lee and George Samaras and Lee, \{Dik Lun\}",

booktitle = "MobiDE '07",

publisher = "Association for Computing Machinery",

note = "6th ACM international workshop on Data engineering for wireless and mobile access, MobiDE '07 ; Conference date: 10-06-2007 Through 10-06-2007",

}

Huang, X & Lu, H 2007, Snapshot density queries on location sensors. in P Scheuermann, W-C Lee, G Samaras & DL Lee (eds), MobiDE '07 : Proceedings of the 6th ACM international workshop on Data engineering for wireless and mobile access. Association for Computing Machinery, pp. 75-78, 6th ACM international workshop on Data engineering for wireless and mobile access, Beijing, China, 10/06/2007. https://doi.org/10.1145/1254850.1254864

Snapshot density queries on location sensors. / Huang, Xuegang; Lu, Hua.
MobiDE '07 : Proceedings of the 6th ACM international workshop on Data engineering for wireless and mobile access. ed. / Peter Scheuermann; Wang-Chien Lee; George Samaras; Dik Lun Lee. Association for Computing Machinery, 2007. p. 75-78.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Huang, Xuegang

AU - Lu, Hua

N1 - Conference code: 6

PY - 2007

Y1 - 2007

N2 - Density queries are of practical importance in many mobility related applications. In this paper, we employ the location sensors, which are placed in a geographical area and can only detect the amount of objects moving in vicinity, to estimate the dense regions of objects. Our approach partitions the region of interest into subregions, and deploys in each subregion both location sensors and a processing node that issues and answers density queries. Three algorithms are proposed to process density queries on those processing nodes. Their accuracy and efficiency are empirically evaluated

AB - Density queries are of practical importance in many mobility related applications. In this paper, we employ the location sensors, which are placed in a geographical area and can only detect the amount of objects moving in vicinity, to estimate the dense regions of objects. Our approach partitions the region of interest into subregions, and deploys in each subregion both location sensors and a processing node that issues and answers density queries. Three algorithms are proposed to process density queries on those processing nodes. Their accuracy and efficiency are empirically evaluated

U2 - 10.1145/1254850.1254864

DO - 10.1145/1254850.1254864

M3 - Article in proceedings

SN - 978-1-59593-765-0

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EP - 78

BT - MobiDE '07

A2 - Scheuermann, Peter

A2 - Lee, Wang-Chien

A2 - Samaras, George

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T2 - 6th ACM international workshop on Data engineering for wireless and mobile access

Y2 - 10 June 2007 through 10 June 2007

ER -