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dc.contributor.authorKarimi, Babak
dc.contributor.authorNamboodiri, Vinod
dc.contributor.authorJadliwala, Murtuza Shabbir
dc.identifier.citationKarimi, Babak; Namboodiri, Vinod; Jadliwala, Murtuza Shabbir. 2013. On the scalable collection of metering data in smart grids through message concatenation. 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), 21-24 Oct. 2013, ppg. 318-323en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractAdvanced Metering Infrastructure (AMI) initiatives are a popular tool to incorporate changes for modernizing the electricity grid, reduce peak loads, and meet energy-efficiency targets. There is the looming issue of how to communicate and handle consumer data collected by electric utilities and manage limited communication network resources. Several data relay points are required to collect data distributedly and send them through a communication backhaul. This work studies the smart meter message concatenation (SMMC) problem of how to concatenate multiple small smart metering messages arriving at data concentrator units (DCUs) in order to reduce protocol overhead and thus network utilization. This problem needs to deal with the added constraint that each originating message from its source may have its own stated deadline that must be taken into account during the concatenation process. Six heuristic algorithms are proposed and evaluated to gain a better understanding of the best data volume reduction policies that can be applied at data concentrators of smart grids.en_US
dc.relation.ispartofseries2013 IEEE International Conference on Smart Grid Communications (SmartGridComm);Vancouver, BC, 21-24 Oct. 2013
dc.subjectCommunication networksen_US
dc.subjectHeuristic algorithmsen_US
dc.subjectPower industryen_US
dc.subjectSmart gridsen_US
dc.titleOn the scalable collection of metering data in smart grids through message concatenationen_US
dc.typeConference paperen_US
dc.rights.holderCopyright © 2013, IEEE

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