NDLI: PriBaCC: In-network sensor data processing for efficient smart grid monitoring applications

Content Provider	IEEE Xplore Digital Library
Author	Matta, N. Rahim-Amoud, R. Merghem-Boulahia, L. Jrad, A. Nolot, F.
Copyright Year	2013
Description	Author affiliation: ICD/ERA, Troyes Univ. of Technol., Troyes, France (Matta, N.; Merghem-Boulahia, L.) \|\| CReSTIC - SysCom EA 3804, Univ. de Reims Champagne-Ardenne, Reims, France (Nolot, F.) \|\| Centre-Azm, Lebanese Univ., Azm, Lebanon (Rahim-Amoud, R.; Jrad, A.)
Abstract	The next generation electricity grid, i.e. the smart grid, will integrate significant sensing capabilities including distributed data collection and sensing infrastructures. Wireless Sensor Networks (WSNs) have been widely considered as promising candidates for monitoring and control applications in the smart grid. However, with the proliferation of sensing entities, utilities need to efficiently manage the data collected from these sensors in order to optimize the utilization of communication networks, as well as reduce their response times to minimize the duration and impact of failures and service interruptions. To this end, this paper introduces a behavioral multi-agent-based approach for managing sensor networks' information in smart grids. In particular, we are interested in sensor networks deployed for monitoring applications. We propose PriBaCC, an in-network data processing approach allowing to only retain and communicate significant data to the concerned entities, while reducing communication over-head. Simulation results show that the proposed approach provides a scalable and efficient data management solution for WSNs monitoring applications in smart grids.
Starting Page	1
Ending Page	6
File Size	182624
Page Count	6
File Format	PDF
ISBN	9781479929696
DOI	10.1109/GIIS.2013.6684362
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-28
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Energy consumption smart grids multi-agent systems Data processing Smart grids Delays Sensors data aggregation Monitoring
Content Type	Text
Resource Type	Article

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