2011 IEEE International Conference on Smart Grid Communications (SmartGridComm) 2011
DOI: 10.1109/smartgridcomm.2011.6102302
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Data-quality-aware volume reduction in smart grid networks

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Cited by 18 publications
(11 citation statements)
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“…SVD sparsity proved to be able to find out, what parts of the system are strongly coupled [18]. In [24], an intelligent traffic volume reduction of the communication flows is presented. The authors note that beside of "essential" data that must reach the target, there is a "non-essential" part.…”
Section: Congestion Avoidancementioning
confidence: 99%
“…SVD sparsity proved to be able to find out, what parts of the system are strongly coupled [18]. In [24], an intelligent traffic volume reduction of the communication flows is presented. The authors note that beside of "essential" data that must reach the target, there is a "non-essential" part.…”
Section: Congestion Avoidancementioning
confidence: 99%
“…On the downside, TCP splitting approaches are more vulnerable to security attacks, and packets may suffer longer delays. An alternative congestion control technique is proposed in [229] by adapting the monitoring rate of smart meters to the available bandwidth. The basic idea is to formulate an optimization problem to determine which is the amount of traffic that can be reduced at different locations in the network without affecting the grid operations.…”
Section: Transport Protocolmentioning
confidence: 99%
“…This shifts the focus of the problem from battery life of nodes involved to the reduction of network capacity utilization. Reference [6] does look at data volume reduction in smart metering networks, but does not include aspects such as message concatenation.…”
Section: B Related Workmentioning
confidence: 99%
“…For example, by current standards, each smart meter sends a few kilobytes of data every 15-60 min to grid operators [3], [4]. When this is scaled up to many thousands, existing communication architectures will find it difficult to handle the data traffic due to the limited network capacities, especially in limited bandwidth last mile networks [5], [6]. Future applications may require data to be collected at a finer granularity, thus adding to the challenge [7].…”
mentioning
confidence: 99%