Paper Info
Title
On the scalable collection of metering data in smart grids through message concatenation.
Abstract
Advanced 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.
Year
DOI
Venue
2013
10.1109/SmartGridComm.2013.6687977
SmartGridComm
Keywords
Field
DocType
electricity supply industry,protocols,smart meters,smart power grids,AMI,DCU,SMMC problem,advanced metering infrastructure,communication backhaul,consumer data,data concentrator units,data concentrators,data relay points,electric utilities,electricity grid,energy-efficiency targets,heuristic algorithms,limited communication network resources,metering data,multiple small smart metering messages,network utilization,peak loads,protocol overhead,scalable collection,smart grids,smart meter message concatenation problem
Heuristic,Telecommunications network,Backhaul (telecommunications),Smart grid,Computer science,Computer network,Real-time computing,Protocol overhead,Concatenation,Smart meter,Distributed computing,Scalability
Conference
ISSN
Citations 
PageRank 
2373-6836
2
0.42
References 
Authors
0
3
Name
Order
Citations
PageRank
Babak Karimi1171.93
Vinod Namboodiri234727.79
Murtuza Jadliwala326625.26