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• W2528232868 abstract "The smart grid is now being deployed in many countries to provide cleaner and greener energy to the consumers. To implement this efficiently and effectively appropriate data collecting, processing and transmitting infrastructures are needed to be in place. Smart meters are used to measure the energy consumption details and patterns and transmit to meter data management system (MDMS) with the help of data aggregation units (DAU). The sheer amount of data need to be collected from the consumers are very huge and they fall under the category of big data. Currently, all the data collected from smart meters are stored in a centralized place for processing to forecast the energy demand. This approach is becoming a bottleneck for efficient data collection due to limited bandwidth capacities of Power Line Communication (PLC). In this paper, we propose a framework for distributed data aggregation approach with the help of fog computing architecture. With this approach the amount of data sent to the centralized storage space is limited and, therefore, the capacity of PLC is virtually improved without compromising the functionality." @default.
• W2528232868 created "2016-10-14" @default.
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• W2528232868 date "2016-09-01" @default.
• W2528232868 modified "2023-10-16" @default.
• W2528232868 title "Improved throughput for Power Line Communication (PLC) for smart meters using fog computing based data aggregation approach" @default.
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• W2528232868 doi "https://doi.org/10.1109/isc2.2016.7580841" @default.
• W2528232868 hasPublicationYear "2016" @default.
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