Cited by 8,630IoT and Edge/Fog ComputingIoT Networks and ProtocolsInternet of Things and AI

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Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

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Al-Fuqaha, Ala, Guizani, Mohsen, Mohammadi, Mehdi, Aledhari, Mohammed, Ayyash, Moussa·2015·IEEE Communications Surveys & Tutorials

DOI 10.1109/comst.2015.2444095

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Abstract

This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication technologies, and Internet protocols. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications. The current revolution in Internet, mobile, and machine-to-machine (M2M) technologies can be seen as the first phase of the IoT. In the coming years, the IoT is expected to bridge diverse technologies to enable new applications by connecting physical objects together in support of intelligent decision making. This paper starts by providing a horizontal overview of the IoT. Then, we give an overview of some technical details that pertain to the IoT enabling technologies, protocols, and applications. Compared to other survey papers in the field, our objective is to provide a more thorough summary of the most relevant protocols and application issues to enable researchers and application developers to get up to speed quickly on how the different protocols fit together to deliver desired functionalities without having to go through RFCs and the standards specifications. We also provide an overview of some of the key IoT challenges presented in the recent literature and provide a summary of related research work. Moreover, we explore the relation between the IoT and other emerging technologies including big data analytics and cloud and fog computing. We also present the need for better horizontal integration among IoT services. Finally, we present detailed service use-cases to illustrate how the different protocols presented in the paper fit together to deliver desired IoT services.

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The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Internet of Things (IoT): A vision, architectural elements, and future directions
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.01.010 · Cited by 12,293
Fog computing and its role in the internet of things
Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012) · Proceedings of the first edition of the MCC workshop on Mobile cloud computing · doi:10.1145/2342509.2342513 · Cited by 6,244
Architectural styles and the design of network-based software architectures
Fielding, R. T., & Taylor, R. N. (2000) · Cited by 5,094
Contiki - a lightweight and flexible operating system for tiny networked sensors
Dunkels, A., Grönvall, B., & Voigt, T. (2004) · doi:10.1109/lcn.2004.38 · Cited by 2,694
The Internet of Things: How the Next Evolution of the Internet Is Changing Everything
Evans, D. (2011) · Cited by 2,687
RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks
Brandt, A., Hui, J., Kelsey, R. A., Levis, P. A., Pister, K. S. J., Struik, R., Vasseur, J., & Alexander, R. (2012) · doi:10.17487/rfc6550 · Cited by 2,662
Named data networking
Zhang, L., Afanasyev, A., Burke, J., Jacobson, V., claffy, K., Crowley, P., Papadopoulos, C., Wang, L., & Zhang, B. (2014) · ACM SIGCOMM Computer Communication Review · doi:10.1145/2656877.2656887 · Cited by 2,270
Research Directions for the Internet of Things
Stankovic, J. A. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2312291 · Cited by 1,969
An Introduction to RFID Technology
Want, R. (2006) · IEEE Pervasive Computing · doi:10.1109/mprv.2006.2 · Cited by 1,766

Flagged first, then by citations

Show all 165 references

7 of the 165 references couldn’t be matched to a known paper.

Research works printed but not linked: 17

2014, Nimbits
2014, Press releases detail: Bluetooth technology website
2014, Eclipse Krikkit
2014, Eclipse SmartHome
2014, Eclipse SCADA
2014, Eclipse IoT
vermillard, 2014, M2M, IoT, device management: One protocol to rule them all?, San Francisco CA USA
rushden, 2012, Belkin Brings Your Home to Your Fingertips With WeMo Home Automation System
wang, 2012, Pa-GFDP: An algorithm enhancing reliability of WSNs, WSEAS Trans Comput, 11, 445
2014, Open Auto Alliance
bryant, 2008, Big-Data Computing Creating Revolutionary Breakthroughs in Commerce Science and Society
2014, IoT Code Recipes RPL mDNS and REST
kempf, 0, Thoughts on reliability in the Internet of Things, Proc of the Interc Smart Objects with the Internet Workshop, 1
2014, OMA Lightweight M2M
2014, MASH IoT Platform Youtube Channel
2014, EU FP7 Internet of Things Architecture Project
2014, MQTT NIST Cyber Security Framework

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Method
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Weight convergence analysis of DV-hop localization algorithm with GA
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LEGIoT: A Lightweight Edge Gateway for the Internet of Things
Morabito, R., Petrolo, R., Loscrì, V., & Mitton, N. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.10.011 · Cited by 93
Implementing a chaotic cryptosystem in a 64-bit embedded system by using multiple-precision arithmetic
Flores-Vergara, A., García-Guerrero, E. E., Inzunza-González, E., López-Bonilla, O. R., Rodríguez-Orozco, E., Cárdenas-Valdez, J. R., & Tlelo‐Cuautle, E. (2019) · Nonlinear Dynamics · doi:10.1007/s11071-019-04802-3 · Cited by 93
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“This approach should consider the specific EE problem, the architecture and the characteristics of the network, the available data, and the strengths and weaknesses of each ML algorithm [259]–[261].”
Background
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Long, N. B., Tran‐Dang, H., & Kim, D. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2827050 · Cited by 92
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Alshehri, M. D., & Hussain, F. K. (2018) · Computing · doi:10.1007/s00607-018-0685-7 · Cited by 92
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Kortbeek, V., Yıldırım, K. S., Bakar, A., Sorber, J. M., Hester, J. D., & Pawełczak, P. (2020) · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · doi:10.1145/3373376.3378476 · Cited by 92
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Shirvanimoghaddam, M., Condoluci, M., Döhler, M., & Johnson, S. J. (2017) · Figshare · Cited by 92
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“In this study, we proposed a creative cloud-based closed loop solution for robustly and accurately predicting battery failure, with the maturity of the technologies on cloud-computing (Drake, 2014) and internet of things (IoT) (Al-Fuqaha et al., 2015).”
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Cai, X., Xu, W., Wang, L., & Kaddoum, G. (2022) · IEEE Transactions on Communications · doi:10.1109/tcomm.2022.3169227 · Cited by 92
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Authors: Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M.
Affiliations: Qatar University (QA)
Western Michigan University (US)
Chicago State University (US)
ORCID: Guizani, Mohsen
Mohammadi, Mehdi
Aledhari, Mohammed
Ayyash, Moussa
Venue: IEEE Communications Surveys & Tutorials
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2015
Volume: 17
Issue: 4
Pages: 2347-2376
ISSN: 1553-877X (ISSN-L)
2373-745X
DOI: 10.1109/comst.2015.2444095
OpenAlex: W2134295053
Cited by: 8,630
References: 165
Citations by year: 2026: 599 · 2025: 718 · 2024: 703 · 2023: 807 · 2022: 805 · 2021: 995 · 2020: 1145 · 2019: 1055 · 2018: 945 · 2017: 607 · 2016: 238 · 2015: 13
FWCI: 687.33
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Communications Surveys & Tutorials (publishedVersion)
Qatar University QSpace (Qatar University) (submittedVersion)
Topics: Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT Networks and Protocols
Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
Keywords: Internet of Things, IoT protocols, RFID, smart sensors, machine-to-machine communication, enabling technologies, IoT applications, big data analytics, cloud computing, fog computing, intelligent decision-making

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Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

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