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dc.contributor.authorWang, You-Chiunen_US
dc.contributor.authorHsieh, Yao-Yuen_US
dc.contributor.authorTseng, Yu-Cheeen_US
dc.date.accessioned2014-12-08T15:09:21Z-
dc.date.available2014-12-08T15:09:21Z-
dc.date.issued2009-06-01en_US
dc.identifier.issn0018-9340en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TC.2009.20en_US
dc.identifier.urihttp://hdl.handle.net/11536/7139-
dc.description.abstractIn many WSN (wireless sensor network) applications, such as [1], [2], [3], the targets are to provide long-term monitoring of environments. In such applications, energy is a primary concern because sensor nodes have to regularly report data to the sink and need to continuously work for a very long time so that users may periodically request a rough overview of the monitored environment. On the other hand, users may occasionally query more in-depth data of certain areas to analyze abnormal events. These requirements motivate us to propose a multiresolution compression and query (MRCQ) framework to support in-network data compression and data storage in WSNs from both space and time domains. Our MRCQ framework can organize sensor nodes hierarchically and establish multiresolution summaries of sensing data inside the network, through spatial and temporal compressions. In the space domain, only lower resolution summaries are sent to the sink; the other higher resolution summaries are stored in the network and can be obtained via queries. In the time domain, historical data stored in sensor nodes exhibit a finer resolution for more recent data, and a coarser resolution for older data. Our methods consider the hardware limitations of sensor nodes. So, the result is expected to save sensors' energy significantly, and thus, can support long-term monitoring WSN applications. A prototyping system is developed to verify its feasibility. Simulation results also show the efficiency of MRCQ compared to existing work.en_US
dc.language.isoen_USen_US
dc.subjectCodingen_US
dc.subjectdata compressionen_US
dc.subjectsensor data aggregationen_US
dc.subjectsensor data managementen_US
dc.subjectwireless sensor networksen_US
dc.titleMultiresolution Spatial and Temporal Coding in a Wireless Sensor Network for Long-Term Monitoring Applicationsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TC.2009.20en_US
dc.identifier.journalIEEE TRANSACTIONS ON COMPUTERSen_US
dc.citation.volume58en_US
dc.citation.issue6en_US
dc.citation.spage827en_US
dc.citation.epage838en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000265412200009-
dc.citation.woscount14-
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