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      Internet of Things (IoT) Operating Systems Management: Opportunities, Challenges, and Solution

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          Abstract

          Internet of Things (IoT) is rapidly growing and contributing drastically to improve the quality of life. Immense technological innovations and growth is a key factor in IoT advancements. Readily available low cost IoT hardware is essential for continuous adaptation of IoT. Advancements in IoT Operating System (OS) to support these newly developed IoT hardware along with the recent standards and techniques for all the communication layers are the way forward. The variety of IoT OS availability demands to support interoperability that requires to follow standard set of rules for development and protocol functionalities to support heterogeneous deployment scenarios. IoT requires to be intelligent to self-adapt according to the network conditions. In this paper, we present brief overview of different IoT OSs, supported hardware, and future research directions. Therein, we provide overview of the accepted papers in our Special Issue on IoT OS management: opportunities, challenges, and solution. Finally, we conclude the manuscript.

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          Most cited references38

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          Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges

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            A survey on IEEE 802.11ah: An enabling networking technology for smart cities

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              Internet of Things (IoT) Operating Systems Support, Networking Technologies, Applications, and Challenges: A Comparative Review

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                15 April 2019
                April 2019
                : 19
                : 8
                : 1793
                Affiliations
                [1 ]Department of Information and Communication Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk 38541, Korea; yousafbinzikria@ 123456gmail.com
                [2 ]Zühlke Group, Eschborn, 65760 Hessen, Germany; oliver.hahm@ 123456zuehlke.com
                [3 ]Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt 47010, Pakistan; khalilafzal@ 123456ciitwah.edu.pk
                [4 ]Department of Computer Networks, Jazan University, Jazan 45142, Saudi Arabia; aalsalem.m@ 123456gmail.com
                Author notes
                [* ]Correspondence: swon@ 123456yu.ac.kr ; Tel.: +82-53-810-4742
                Author information
                https://orcid.org/0000-0001-8454-6980
                Article
                sensors-19-01793
                10.3390/s19081793
                6514957
                30991658
                78b15ec8-33c7-48c3-943c-41e1705718b4
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 09 April 2019
                : 11 April 2019
                Categories
                Editorial

                Biomedical engineering
                iot,iot os,iiot,wsn,uwsn,icn,smart home,smart city,vanets,sdn,edge computing
                Biomedical engineering
                iot, iot os, iiot, wsn, uwsn, icn, smart home, smart city, vanets, sdn, edge computing

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