Show simple item record

dc.contributor.authorZhou, Y
dc.contributor.authorDe, S
dc.contributor.authorWang, W
dc.contributor.authorMoessner, K
dc.contributor.authorPalaniswami, MS
dc.date.accessioned2021-02-04T02:14:55Z
dc.date.available2021-02-04T02:14:55Z
dc.date.issued2017-06-01
dc.identifierpii: s17061427
dc.identifier.citationZhou, Y., De, S., Wang, W., Moessner, K. & Palaniswami, M. S. (2017). Spatial Indexing for Data Searching in Mobile Sensing Environments. SENSORS, 17 (6), https://doi.org/10.3390/s17061427.
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/11343/259624
dc.description.abstractData searching and retrieval is one of the fundamental functionalities in many Web of Things applications, which need to collect, process and analyze huge amounts of sensor stream data. The problem in fact has been well studied for data generated by sensors that are installed at fixed locations; however, challenges emerge along with the popularity of opportunistic sensing applications in which mobile sensors keep reporting observation and measurement data at variable intervals and changing geographical locations. To address these challenges, we develop the Geohash-Grid Tree, a spatial indexing technique specially designed for searching data integrated from heterogeneous sources in a mobile sensing environment. Results of the experiments on a real-world dataset collected from the SmartSantander smart city testbed show that the index structure allows efficient search based on spatial distance, range and time windows in a large time series database.
dc.languageEnglish
dc.publisherMDPI
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleSpatial Indexing for Data Searching in Mobile Sensing Environments
dc.typeJournal Article
dc.identifier.doi10.3390/s17061427
melbourne.affiliation.departmentElectrical and Electronic Engineering
melbourne.affiliation.facultyEngineering and Information Technology
melbourne.source.titleDiversity
melbourne.source.volume17
melbourne.source.issue6
dc.rights.licenseCC BY
melbourne.elementsid1221410
melbourne.openaccess.pmchttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492522
melbourne.contributor.authorPalaniswami, Marimuthu
dc.identifier.eissn1424-8220
melbourne.accessrightsOpen Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record