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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Development of high-speed FSO transmission link for the implementation of 5G and Internet of Things
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Atmosphere: Context and situational-aware collaborative IoT architecture for edge-fog-cloud computing
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“Therefore, it is not possible to use the traditional hardware environments and software tools to manage and process the data with an acceptable response time, but fog computing has the potential to provide better performance for real-time services [11].”
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“[1] 2015 IoT This paper provides an overview of the IoT enabling technologies, various applications, different protocols, and IoT challenges.”
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“IPv6-based networks have management protocols in place, such as Long-Range Wide Area Network (LoWPAN), Network Management Protocol (LNMP) and Simple Network Management Protocol (SNMP) [116].”
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“This reduces the overall network latency and allows the processing of smaller data aggregates [35].”
BackgroundInfluential
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Mohsan, S. A. H., Mazinani, A., Sadiq, H. B., & Amjad, H. (2022) · Optical and Quantum Electronics · doi:10.1007/s11082-021-03442-5 · Cited by 72
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Background
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Roy, S., Rawat, U., & Karjee, J. (2019) · IEEE Access · doi:10.1109/access.2019.2906326 · Cited by 67
Channel Estimation for Ambient Backscatter Communication Systems With Massive-Antenna Reader
Zhao, W., Wang, G., Atapattu, S., He, R., & Liang, Y. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2925212 · Cited by 67
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Gedeon, J., Brandherm, F., Egert, R., Grube, T., & Mühlhäuser, M. (2019) · IEEE Access · doi:10.1109/access.2019.2948399 · Cited by 68
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Trust-based energy-efficient routing protocol for Internet of things–based sensor networks
Ilyas, M., Ullah, Z., Khan, F. A., Chaudary, M. H., Malik, M. S. A., Zaheer, Z., & Durrani, H. U. R. (2020) · International Journal of Distributed Sensor Networks · doi:10.1177/1550147720964358 · Cited by 67
Hyperconnected Network: A Decentralized Trusted Computing and Networking Paradigm
Yin, H., Guo, D., Wang, K., Jiang, Z., Lyu, Y., & Xing, J. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700172 · Cited by 65
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Dammak, B., Turki, M., Cheikhrouhou, S., Baklouti, M., Mars, R., & Dhahbi, A. (2022) · Sensors · doi:10.3390/s22041497 · Cited by 69
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Zhou, J., Zhang, Z., Dong, B., Ren, Z., Liu, W., & Lee, C. (2022) · ACS Nano · doi:10.1021/acsnano.2c10163 · Cited by 65
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Shaukat, H., Ali, A., Ali, S., Altabey, W. A., Noori, M. N., & Kouritem, S. A. (2023) · Journal of Low Power Electronics and Applications · doi:10.3390/jlpea13040062 · Cited by 66
“Because of the challenge of connecting electrical cables with various sensors, powering wireless sensor node systems is a concern [5–7].”
Background
Deep Trust: A Novel Framework for Dynamic Trust and Reputation Management in the Internet of Things (IoT)-Based Networks
Ullah, F., Salam, A., Amin, F., Khan, I. A., Ahmed, J., Zaib, S. A., & Choi, G. S. (2024) · IEEE Access · doi:10.1109/access.2024.3409273 · Cited by 78
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Fathy, Y., Barnaghi, P. M., & Tafazolli, R. (2018) · ACM Computing Surveys · doi:10.1145/3154525 · Cited by 66
Industrial IoT security threats and concerns by considering Cisco and Microsoft IoT reference models
Bakhshi, Z., Balador, A., & Mustafa, J. (2018) · IEEE Wireless Communications and Networking Conference Workshops (WCNCW) · doi:10.1109/wcncw.2018.8368997 · Cited by 66
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Characterizing Cloud Federation in IoT
Celesti, A., Fazio, M. C., Giacobbe, M., Puliafito, A., & Villari, M. (2016) · International Conference on Advanced Information Networking and Applications Workshops (WAINA) · doi:10.1109/waina.2016.152 · Cited by 65
Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Novel Framework in Automation of Everything (AoE)
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Denial-of-Service Attacks on Wireless Sensor Network and Defense Techniques
Islam, M. N. U., Fahmin, A., Hossain, M. S., & Atiquzzaman, M. (2020) · Wireless Personal Communications · doi:10.1007/s11277-020-07776-3 · Cited by 70
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“One common security issue is the exposure of secret (private and sensitive) information via packet dropping attack [64].”
Background
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Roe, M., Spanaki, K., Ioannou, A., Zamani, E. D., & Giannakis, M. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121593 · Cited by 68
“While there are challenges surrounding synchronisation and standardisation between different cloud vendors, the cloud can still have the potential to manage the big data generated from IoT if the reliability of IoT cloud-based services will be ensured and if these services will be validated and managed well (Al-Fuqaha…”
Background
Achieving efficient energy-aware security in IoT networks: a survey of recent solutions and research challenges
Mahamat, M., Jaber, G., & Bouabdallah, A. (2022) · Wireless Networks · doi:10.1007/s11276-022-03170-y · Cited by 68
“Due to the heterogeneous nature of IoT, the limited energy of the devices, and the existence of multiple technologies [7, 8], Ghada Jaber and Abdelmadjid Bouabdallah have contributed equally to this work.”
Background
Cybersecurity threats in the age of IoT: A review of protective measures
Amoo, O. O., Osasona, F., Atadoga, A., Ayinla, B. S., Farayola, O. A., & Abrahams, T. O. (2024) · International Journal of Science and Research Archive · doi:10.30574/ijsra.2024.11.1.0217 · Cited by 65
“The pervasive integration of IoT into diverse sectors has ushered in a new era of connectivity and automation (Al-Fuqaha et al., 2015).”
BackgroundInfluential
Stochastic Geometry-Based Uplink Performance Analysis of IoT Over LEO Satellite Communication
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Multi-level simulation of Internet of Things on smart territories
D’Angelo, G., Ferretti, S., & Ghini, V. (2016) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2016.10.008 · Cited by 65
Design and implementation of an IoT gateway to create smart environments
Glória, A., Cercas, F., & Souto, N. M. B. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.05.343 · Cited by 65
Big Data Processing Architecture for Radio Signals Empowered by Deep Learning: Concept, Experiment, Applications and Challenges
Zheng, S., Chen, S., Yang, L., Zhu, J., Luo, Z., Hu, J., & Yang, X. (2018) · IEEE Access · doi:10.1109/access.2018.2872769 · Cited by 66
A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services
Yang, Z., Jin, Y., & Hao, K. (2018) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2018.2880458 · Cited by 65
Performance Evaluation of Open Source IoT Platforms
Ismail, A. A., Hamza, H. S., & Kotb, A. M. (2018) · doi:10.1109/gciot.2018.8620130 · Cited by 65
Perspectives on emerging directions in using IoT devices in blockchain applications
Rao, A. R., & Clarke, D. J. B. (2019) · Internet of Things · doi:10.1016/j.iot.2019.100079 · Cited by 67
A Survey of Human Mobility Models
Solmaz, G., & Turgut, D. (2019) · IEEE Access · doi:10.1109/access.2019.2939203 · Cited by 65
Artificial Intelligence-Powered Mobile Edge Computing-Based Anomaly Detection in Cellular Networks
Hussain, B., Du, Q., Imran, A., & Imran, M. A. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2953201 · Cited by 67
Soft Sensing in Smart Cities: Handling 3Vs Using Recommender Systems, Machine Intelligence, and Data Analytics
Habibzadeh, H., Boggio-Dandry, A., Qin, Z., Soyata, T., Kantarci, B., & Mouftah, H. T. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700304 · Cited by 64
Identifying emerging Research and Business Development (R&BD) areas based on topic modeling and visualization with intellectual property right data
Jeong, Y., Park, I., & Yoon, B. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.05.010 · Cited by 65
DM-MQTT: An Efficient MQTT Based on SDN Multicast for Massive IoT Communications
Park, J.-H., Kim, H.-S., & Kim, W.-T. (2018) · Sensors · doi:10.3390/s18093071 · Cited by 64
Mobility-Aware Fog Computing in Dynamic Environments: Understandings and Implementation
Waqas, M., Niu, Y., Ahmed, M., Li, Y., Jin, D., & Han, Z. (2018) · IEEE Access · doi:10.1109/access.2018.2883662 · Cited by 66
Energy Efficient IoT Virtualization Framework With Peer to Peer Networking and Processing
Al-Azez, Z. T., Lawey, A. Q., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2019) · IEEE Access · doi:10.1109/access.2019.2911117 · Cited by 57
Augmented Reality in IoT
White, G., Cabrera, C., Palade, A., & Clarke, S. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-17642-6_13 · Cited by 64
Resource Management in Cloud Radio Access Network: Conventional and New Approaches
Rodoshi, R. T., Kim, T., & Choi, W. (2020) · Sensors · doi:10.3390/s20092708 · Cited by 64
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
Çatak, F. Ö., Kuzlu, M., Çatak, E., Cali, Ü., & Ünal, D. (2022) · Physical Communication · doi:10.1016/j.phycom.2022.101626 · Cited by 65
Factors impacting digital transformations of the food industry by adoption of blockchain technology
Dehghani, M. A., Popova, A., & Gheitanchi, S. (2021) · Journal of Business and Industrial Marketing · doi:10.1108/jbim-12-2020-0540 · Cited by 69
Access Control Models for Cloud-Enabled Internet of Things: A Proposed Architecture and Research Agenda
Alshehri, A. H., & Sandhu, R. S. (2016) · IEEE International Conference on Collaboration and Internet Computing (CIC) · doi:10.1109/cic.2016.081 · Cited by 64
A Lightweight XMPP Publish/Subscribe Scheme for Resource-Constrained IoT Devices
Wang, H., Xiong, D., Wang, P., & Liu, Y. (2017) · IEEE Access · doi:10.1109/access.2017.2742020 · Cited by 64
Mitigating Forwarding misbehaviors in RPL-based low power and lossy networks
Pu, C., & Hajjar, S. (2018) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc.2018.8319164 · Cited by 64
Blockchain-based secure time protection scheme in IoT
Fan, K., Wang, S., Ren, Y., Yang, K., Yan, Z., Li, H., & Yang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2874222 · Cited by 78

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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