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Computing Aggregates on Autonomous, Self-organizing Multi-Agent System: Application "Smart Grid"

  • Decentralized data aggregation plays an important role in estimating the state of the smart grid, allowing the determination of meaningful system-wide measures (such as the current power generation, consumption, etc.) to balance the power in the grid environment. Data aggregation is often practicable if the aggregation is performed effectively. However, many existing approaches are lacking inDecentralized data aggregation plays an important role in estimating the state of the smart grid, allowing the determination of meaningful system-wide measures (such as the current power generation, consumption, etc.) to balance the power in the grid environment. Data aggregation is often practicable if the aggregation is performed effectively. However, many existing approaches are lacking in terms of fault-tolerance. We present an approach to construct a robust self-organizing overlay by exploiting the heterogeneous characteristics of the nodes and interlinking the most reliable nodes to form an stable unstructured overlay. The network structure can recover from random state perturbations in finite time and tolerates substantial message loss. Our approach is inspired from biological and sociological self-organizing mechanisms.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/2740
Bibliografische Angaben
Title (English):Computing Aggregates on Autonomous, Self-organizing Multi-Agent System: Application "Smart Grid"
Conference:International Workshops of PAAMS 2017, Porto, Portugal, June 21-23, 2017
Author:Sai Manoj MarepalliStaff Member, Andreas ChristStaff MemberORCiDGND
Edition:1.
Year of Publication:2017
Place of publication:Basel
Publisher:Springer International Publishing
First Page:271
Last Page:283
Parent Title (English):Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems
Editor:Javier Bajo
Volume:CCIS 722
ISBN:978-3-319-60284-4 (Softcover)
ISBN:978-3-319-60285-1 (eBook)
ISSN:1865-0929
ISSN:1865-0937 (E-ISSN)
DOI:https://doi.org/10.1007/978-3-319-60285-1_23
Language:English
Inhaltliche Informationen
Institutes:Fakultät Medien und Informationswesen (M+I) (bis 21.04.2021)
Collections of the Offenburg University:Bibliografie
Tag:agent based systems; bio-inspired models; distributed computing; reliability; self-organizing networks
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt