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.…
Document Type: | Conference Proceeding |
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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 Marepalli, 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): | Urheberrechtlich geschützt |