research-article

SYNAISTHISI: an enabling platform for the current internet of things ecosystem

Authors:

Georgios Pierris,

Dimosthenis Kothris,

Evaggelos Spyrou,

Costas SpyropoulosAuthors Info & Claims

PCI '15: Proceedings of the 19th Panhellenic Conference on Informatics

Pages 438 - 444

https://doi.org/10.1145/2801948.2802019

Published: 01 October 2015 Publication History

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Abstract

The emerging interest in the Internet of Things (IoT) research is being motivated by the high expectations of market analysts and researchers suggesting that the IoT will transform the everyday lives of consumers, end--users, professionals, businesses, the public sector, and the global economy in the broader sense. SYNAISTHISI is an integrated platform that allows humans, systems, machines, and devices for the creation and management of services. It covers multiple tangential directions of the IoT research, enabling it to feature a wide spectrum of applicability to research and business areas. In this work, we present the architecture and an implementation of SYNAISTHISI platform based on the existing web--technologies and protocols that prevail in the current IoT ecosystem. Finally, a Smart Meeting Room use case is demonstrated.

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Akasiadis C(2022)Emerging Ecosystems Empowered by AI and IoT TechnologiesEmerging Ecosystem-Centric Business Models for Sustainable Value Creation10.4018/978-1-7998-4843-1.ch005(97-131)Online publication date: 2022
https://doi.org/10.4018/978-1-7998-4843-1.ch005
Akusta Dagdeviren Z(2022)A Comprehensive Evaluation of Internet-of-Things PlatformsEmerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics10.4018/978-1-7998-4186-9.ch001(1-19)Online publication date: 2022
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Funchal GMelo VLeitao P(2022)Cloud-enabled Integration of IoT Applications within the Farm to Fork to Reduce the Food Waste2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)10.1109/ISIE51582.2022.9831694(824-829)Online publication date: 1-Jun-2022
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SYNAISTHISI: an enabling platform for the current internet of things ecosystem

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Information & Contributors

Information

Published In

PCI '15: Proceedings of the 19th Panhellenic Conference on Informatics

October 2015

438 pages

ISBN:9781450335515

DOI:10.1145/2801948

Editors:
Karanikolas Nikitas N.
Technological Educational Institute of Athens
,
Akoumianakis Demosthenes
Technological Educational Institute of Crete
,
Nikolaidou Mara
Harokopio University of Athens
,
Vergados Dimitris
University of Piraeus
,
Xenos Michalis
Hellenic Open University
,
General Chairs:
Giaglis George
Athens University of Economics and Business
,
Gritzalis Stefanos
University of the Aegean
,
Merakos Lazaros
University of Athens, Greek Universities Network
,
Tsanakas Panagiotis
National Technical University of Athens, Greek Research & Technology Network
,
Sgouropoulou Cleo
Technological Educational Institute of Athens

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2015

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Research-article

Funding Sources

European Regional Development Fund
General Secretariat for Research and Technology

Conference

PCI '15

PCI '15: 19th Panhellenic Conference on Informatics

October 1 - 3, 2015

Athens, Greece

Acceptance Rates

PCI '15 Paper Acceptance Rate 64 of 148 submissions, 43%;

Overall Acceptance Rate 190 of 390 submissions, 49%

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Cited By

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Akasiadis C(2022)Emerging Ecosystems Empowered by AI and IoT TechnologiesEmerging Ecosystem-Centric Business Models for Sustainable Value Creation10.4018/978-1-7998-4843-1.ch005(97-131)Online publication date: 2022
https://doi.org/10.4018/978-1-7998-4843-1.ch005
Akusta Dagdeviren Z(2022)A Comprehensive Evaluation of Internet-of-Things PlatformsEmerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics10.4018/978-1-7998-4186-9.ch001(1-19)Online publication date: 2022
https://doi.org/10.4018/978-1-7998-4186-9.ch001
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https://doi.org/10.1109/ISIE51582.2022.9831694
Rezgui JSoldevila E(2022)Novel IoT Development Kit for Personalized Smart Ecosystems: Aliot2022 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)10.1109/GCAIoT57150.2022.10019206(54-59)Online publication date: 18-Dec-2022
https://doi.org/10.1109/GCAIoT57150.2022.10019206
Ben Mahfoudh HCaselli ADi Marzo Serugendo G(2021)Learning-Based Coordination Model for On-the-Fly Self-Composing Services Using Semantic MatchingJournal of Sensor and Actuator Networks10.3390/jsan1001000510:1(5)Online publication date: 20-Jan-2021
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Akasiadis CPitsilis VSpyropoulos C(2019)A Multi-Protocol IoT Platform Based on Open-Source FrameworksSensors10.3390/s1919421719:19(4217)Online publication date: 28-Sep-2019
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Voutos YMylonas PSpyrou ECharou E(2017)A Social Environmental Sensor Network Integrated within a Web GIS PlatformJournal of Sensor and Actuator Networks10.3390/jsan60400276:4(27)Online publication date: 21-Nov-2017
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Mathe ESpyrou E(2016)Connecting a Consumer Brain-Computer Interface to an Internet-of-Things EcosystemProceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2910674.2935844(1-2)Online publication date: 29-Jun-2016
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