Agent-based Internet of Things: State-of-the-art and research challenges

Claudio Savaglio , Maria Ganzha , Marcin Paprzycki , Costin Bădică , Mirjana Ivanović , Giancarlo Fortino

Abstract

The disruptive potentials of the Internet of Things (IoT) entails multifaceted requirements and development issues (large scale deployments, heterogeneity, cyberphysicality, interoperability, distributed smartness, self-management, etc.). To adequately tackle them and to comprehensively support the development of the IoT ecosystem, the Agent-Based Computing (ABC) represents a proper and solid modeling, programming and simulation paradigm. Indeed, abstractions, design methods, technology and frameworks related to the ABC have been widely exploited, possibly jointly with other well-established/emerging computing paradigms, to actually develop advanced IoT ecosystem. This survey, an extension of our previous work, reports most relevant contemporary contributions in the field, aiming at assessing suitability of the ABC paradigm for the (current and future) IoT development.

Author Claudio Savaglio - [Universita della Calabria]
Claudio Savaglio,,
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, Maria Ganzha (FMIS / DAICM)
Maria Ganzha,,
- Department of Artificial Intelligence and Computational Methods
, Marcin Paprzycki - Systems Research Institute. Polish Academy of Science
Marcin Paprzycki ,,
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, Costin Bădică - [University of Craiova]
Costin Bădică,,
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, Mirjana Ivanović - [University of Novi Sad (UNS)]
Mirjana Ivanović,,
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- Univerzitet u Novom Sadu
, Giancarlo Fortino - [Universita della Calabria]
Giancarlo Fortino,,
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Journal seriesFuture Generation Computer Systems, [Future Generation Computer Systems], ISSN 0167-739X, e-ISSN 1872-7115
Issue year2020
Vol102
Pages1038-1053
Keywords in EnglishSoftware agents, Internet of Things, IoT
ASJC Classification1705 Computer Networks and Communications; 1708 Hardware and Architecture; 1712 Software
DOIDOI:10.1016/j.future.2019.09.016
URL https://www.sciencedirect.com/science/article/pii/S0167739X19312282?via%3Dihub
Languageen angielski
Score (nominal)140
Score sourcejournalList
ScoreMinisterial score = 140.0, 13-09-2020, ArticleFromJournal
Publication indicators Scopus Citations = 9; WoS Citations = 10; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 2.464; WoS Impact Factor: 2018 = 5.768 (2) - 2018=5.67 (5)
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