Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, You-Chiunen_US
dc.contributor.authorHsieh, Yao-Yuen_US
dc.contributor.authorTseng, Yu-Cheeen_US
dc.date.accessioned2014-12-08T15:47:15Z-
dc.date.available2014-12-08T15:47:15Z-
dc.date.issued2008en_US
dc.identifier.isbn978-1-4244-1644-8en_US
dc.identifier.issn1090-3038en_US
dc.identifier.urihttp://hdl.handle.net/11536/31697-
dc.description.abstractWireless sensor networks provide a convenient manner to monitor the physical environments. How to extend the network lifetime by reducing the amount of message transmissions is a critical issue. In this paper, we propose a multi-resolution compression and storage (MCS) framework to compress and preserve sensing data in a wireless sensor network. Our MCS framework adopts spatial and temporal compression schemes to reduce the amount of message transmissions, so the network lifetime can he prolonged and the network congestion can be alleviated. In addition, we also develop a storage mechanism to maintain sensing data in sensor nodes, so that users can query more detailed data when necessary. Our proposed methods consider the hardware limitations of sensor nodes. We also implement a prototyping system on the MICAz Mote platform.en_US
dc.language.isoen_USen_US
dc.subjectdata correlationen_US
dc.subjectmessage compressionen_US
dc.subjectpervasive computingen_US
dc.subjectsensor data managementen_US
dc.subjectwireless sensor networksen_US
dc.titleCompression and storage schemes in a sensor network with spatial and temporal coding techniquesen_US
dc.typeArticleen_US
dc.identifier.journal2008 IEEE 67TH VEHICULAR TECHNOLOGY CONFERENCE-SPRING, VOLS 1-7en_US
dc.citation.spage148en_US
dc.citation.epage152en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000259298000031-
Appears in Collections:Conferences Paper