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dc.contributor.authorDev, Vishnu C.
dc.contributor.authorDas, Uddipan
dc.contributor.authorNamboodiri, Vinod
dc.contributor.authorChakraborty, Suvagata
dc.contributor.authorAravinthan, Visvakumar
dc.contributor.authorGuo, Yu
dc.contributor.authorSrivastava, Anurag
dc.date.accessioned2016-09-25T23:15:43Z
dc.date.available2016-09-25T23:15:43Z
dc.date.issued2015
dc.identifier.citationV. C. Dev et al., "Towards application-aware data concentration schemes for advanced metering infrastructures," 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm), Miami, FL, 2015, pp. 440-445en_US
dc.identifier.isbn978-1-4673-8289-2
dc.identifier.otherWOS:000380423300074
dc.identifier.urihttp://dx.doi.org/10.1109/SmartGridComm.2015.7436340
dc.identifier.urihttp://hdl.handle.net/10057/12441
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractA big challenge for smart grid application scenarios will be handling the massive amount of data that is expected to be collected from data sources such as smart meters and sent through the communication backhaul to the grid operator. One approach to reduce data volume given some application sampling rate is to aggregate the data stream within the network itself. While data aggregation along the communications network can reduce data volume and alleviate congestion issues, it can also reduce the granularity of application data reaching the utility control center, thus being not as useful. This work explores the tradeoff between the quality of application data collected and communications network congestion. It defines the concept of data granularity and presents two case studies on the impact of data granularity on application quality/accuracy. Finally, an algorithm is proposed and evaluated that demonstrates how the data granularity and application quality tradeoff can be managed at intermediate relay nodes such as data concentrators.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2015 IEEE International Conference on Smart Grid Communications (SmartGridComm);
dc.subjectSmart metersen_US
dc.subjectSmart gridsen_US
dc.subjectCommunication networksen_US
dc.subjectState estimationen_US
dc.subjectMathematical modelen_US
dc.subjectTime measurementen_US
dc.subjectHeuristic algorithmsen_US
dc.titleTowards application-aware data concentration schemes for advanced metering infrastructuresen_US
dc.typeConference paperen_US
dc.rights.holder© Copyright 2016 IEEE - All rights reserved.en_US


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