Verlagslink DOI: 10.1109/LCN.2018.8638030
10.48550/arXiv.1801.03890
Titel: HoPP: Robust and Resilient Publish-Subscribe for an Information-Centric Internet of Things
Sprache: Englisch
Autorenschaft: Gündoğan, Cenk 
Kietzmann, Peter 
Schmidt, Thomas C.  
Wählisch, Matthias 
Herausgeber*In: Cherkaoui, Soumaya 
Andersson, Karl 
Al-Turjman, Fadi 
Schlagwörter: ICN; Industrial Internet of Things; Constrained Environment; DoS Resistance
Erscheinungsdatum: 10-Feb-2019
Verlag: IEEE
Teil der Schriftenreihe: Proceedings of the 43rd Annual IEEE Conference on Local Computer Networks (LCN 2018) : October 1-4, 2018, Chicago, USA 
Anfangsseite: 331
Endseite: 334
Konferenz: IEEE Conference on Local Computer Networks 2018 
Zusammenfassung: 
This paper revisits NDN deployment in the IoT with a special focus on the interaction of sensors \em and actuators. Such scenarios require high responsiveness and limited control state at the constrained nodes. We argue that the NDN request-response pattern which prevents data push is vital for IoT networks. We contribute HoP-and-Pull (HoPP), a robust publish-subscribe scheme for typical IoT scenarios that targets IoT networks consisting of hundreds of resource constrained devices at intermittent connectivity. Our approach limits the FIB tables to a minimum and naturally supports mobility, temporary network partitioning, data aggregation and near real-time reactivity. We experimentally evaluate the protocol in a real-world deployment using the IoT-Lab testbed with varying numbers of constrained devices, each interconnected via IEEE 802.15.4 wireless LoWPANs. Implementations are built on CCN-lite with RIOT and support experiments using various single- and multi-hop scenarios.
URI: http://hdl.handle.net/20.500.12738/694
ISBN: 978-1-5386-4413-3
978-1-5386-4412-6
978-1-5386-4414-0
Begutachtungsstatus: Diese Version hat ein Peer-Review-Verfahren durchlaufen (Peer Review)
Einrichtung: Department Informatik 
Fakultät Technik und Informatik 
Dokumenttyp: Konferenzveröffentlichung
Hinweise zur Quelle: Preprint: https://doi.org/10.48550/arXiv.1801.03890. Verlagsversion: https://doi.org/10.1109/LCN.2018.8638030.
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