Data Compression Strategies for Use in Advanced Metering Infrastructure Networks

Internet of Things technology has advanced rapidly. For example, numerous sensors can be deployed in a city to collect a variety of data, and such data can be used to monitor the city’s situation. A possible application of such data is smart metering implemented by power suppliers for their consumer...

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Detalles Bibliográficos
Autores principales: Hsu, Chih-Wei, Hsieh, Sun-Yuan
Formato: Capítulo de libro
Lenguaje:inglés
Publicado: IntechOpen 2020
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Acceso en línea:https://www.intechopen.com/chapters/74499
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Sumario:Internet of Things technology has advanced rapidly. For example, numerous sensors can be deployed in a city to collect a variety of data, and such data can be used to monitor the city’s situation. A possible application of such data is smart metering implemented by power suppliers for their consumers; smart metering involves installing a multiplicity of smart meters that, in conjunction with data centers, form a smart grid. Because a smart gird must collect and send data automatically, the establishment of advanced metering infrastructure (AMI) constitutes the primary step to establishing a smart grid. However, problems remain in smart metering: data traffic from smart meters flows rapidly at a huge volume, resulting in bandwidth bottlenecks. Thus, this chapter proposes some data compression technologies as well as a novel scheme for reducing the communication data load in AMI architectures.
ISBN:978-1-83962-294-6
DOI:10.5772/intechopen.94974