A Social Inspired Broker for M2M Protocols

Vincenza Carchiolo; Alessandro Longheu; Michele Malgeri; Giuseppe Mangioni

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Paper

A Social Inspired Broker for M2M Protocols

Topics: Complex Adaptive Systems; Social Networks; Usability of Complex Information Systems

In Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk COMPLEXIS - Volume 1, 101-105, 2019 , Heraklion, Crete, Greece

Authors: Vincenza Carchiolo ¹ ; Alessandro Longheu ² ; Michele Malgeri ² and Giuseppe Mangioni ²

Affiliations: ¹ Dipartimento di Matematica ed Informatica, Università degli studi di Catania, Catania and Italy ; ² DIEEI, Università degli studi di Catania, Catania and Italy

Keyword(s): IoT, Social Networks, P2P Overlay Networks, M2M Protocols.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Collaboration and e-Services ; Data Communication Networking ; e-Business ; Enterprise Information Systems ; Platforms and Applications ; Social Networks ; Telecommunications

Abstract: Internet of things can be viewed as the shifting from a network of computers to a network of things.To support M2M communication, several protocols have been developed; many of them are endorsed by client-broker model with a publish-subscribe interaction mechanism. In this paper we introduce a multi broker solution where the network of brokers is inspired by social relationships. This allow data sharing among several IoT systems, leads to a reliable and effective query forwarding algorithm and the small world effect coming from mimic humans relations guarantees fast responses and good query recall.

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Paper citation in several formats:

Carchiolo, V.; Longheu, A.; Malgeri, M. and Mangioni, G. (2019). A Social Inspired Broker for M2M Protocols. In Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS; ISBN 978-989-758-366-7; ISSN 2184-5034, SciTePress, pages 101-105. DOI: 10.5220/0007765101010105

@conference{complexis19,
author={Vincenza Carchiolo. and Alessandro Longheu. and Michele Malgeri. and Giuseppe Mangioni.},
title={A Social Inspired Broker for M2M Protocols},
booktitle={Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS},
year={2019},
pages={101-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007765101010105},
isbn={978-989-758-366-7},
issn={2184-5034},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS
TI - A Social Inspired Broker for M2M Protocols
SN - 978-989-758-366-7
IS - 2184-5034
AU - Carchiolo, V.
AU - Longheu, A.
AU - Malgeri, M.
AU - Mangioni, G.
PY - 2019
SP - 101
EP - 105
DO - 10.5220/0007765101010105
PB - SciTePress