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Autonomous Cooperative Decision-Making in Massively Distributed IoT via Heterogenous Networks
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2017 (English)In: Proceedings of the 1st International Conference on Internet of Things and Machine Learning, Association for Computing Machinery (ACM), 2017, article id 25Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a disruptive approach "Immersive Networking" enabling massively distributed IoT nodes to participate in autonomous and cooperative decision-making. The approach is mandated by perceived limitations in 5G networking architecture maintaining control in the edge gateway. In our approach, control may be delegated to clusters of IoT nodes beyond the edge gateway. The communication is event-based involving publish-subscribe between related nodes. Clusters are identified in an autonomic fashion based on multi-criteria proximity. Local decisions can combine global and local context information to establish network slices in a decentralized fashion based on application demands. Moreover, such decisions may be part of a collaborative effort (map-reduce) based on either local or global context. Application demands expressed as such are modeled compatible with Open Data initiatives. We demonstrated feasibility of the approach and evaluate its advantages over the 5G architecture involving an edge gateway.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2017. article id 25
Keywords [en]
Distributed IoT, Autonomic Edge Gateway, Wireless Sensor Networks, Fog Computing, IoT-Middleware
National Category
Computer Sciences
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-158967DOI: 10.1145/3109761.3109786ISI: 000463548100025ISBN: 978-1-4503-5243-7 (electronic)OAI: oai:DiVA.org:su-158967DiVA, id: diva2:1240081
Conference
1st International Conference on Internet of Things and Machine Learning, Liverpool, United Kingdom, October 17 - 18, 2017
Available from: 2018-08-20 Created: 2018-08-20 Last updated: 2022-02-26Bibliographically approved

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Rahmani, RahimKanter, Theo

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