Data aggregation using temporal and spatial correlations in advanced metering infrastructure

Kyung Choi, Kijoon Chae

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In this paper, we propose a data aggregation mechanism using temporal and spatial correlations in Advanced Metering Infrastructure of smart grid environment. Data aggregation is a process to collect the same type of data and transmit the aggregation data using predetermined function - sum, avg, min, etc. It decreases the transmission number and thus enhances energy efficiency. Each smart meter determines the transfer of new power usage data for reduction of transmission amount of data. When the difference of new data and previous data is less than the specified threshold, it is suppressed (temporal correlation). After clustering of geographically adjacent smart meters, each smart meter calculates the sum with the transmitted value of neighboring nodes within clustering and a node transmits own difference value including the sum (spatial correlation). We use the real power usage data during the most power-intensive week for the performance evaluation of our mechanism. The simulation results show that our approach reduces the transmission amount and energy consumption. We verify the accuracy of transmitted data using temporal and spatial correlation mechanism. Moreover, our approach provides minimal exposure of real power usage data without additional security method.

Original languageEnglish
Title of host publicationInternational Conference on Information Networking 2014, ICOIN 2014
PublisherIEEE Computer Society
Pages541-544
Number of pages4
ISBN (Print)9781479936892
DOIs
StatePublished - 2014
Event2014 28th International Conference on Information Networking, ICOIN 2014 - Phuket, Thailand
Duration: 10 Feb 201412 Feb 2014

Publication series

NameInternational Conference on Information Networking
ISSN (Print)1976-7684

Conference

Conference2014 28th International Conference on Information Networking, ICOIN 2014
Country/TerritoryThailand
CityPhuket
Period10/02/1412/02/14

Keywords

  • Advanced Metering Infrastructure
  • Data aggregation
  • Smart meter
  • Temporal and spatial correlations

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