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

The DOI matches its Crossref record; 158 of the 165 references it cites were found in a registry or an index.

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

Open access

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

DOI 10.1109/comst.2015.2444095

Open this paper in CoChat — free account Open PDF

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1109/comst.2015.2444095

Cites

158 of 158 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

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

Sorted by citations

Items 401–500 of 1,024

A secure IoT sensors communication in industry 4.0 using blockchain technology
Rathee, G., Balasaraswathi, M., Chandran, K. P., Gupta, S. D., & Boopathi, C. S. (2020) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-020-02017-8 · Cited by 148
Application layer protocols for the Internet of Things: A survey
Yassein, M. B., Shatnawi, M. Q., & Al-Zoubi, D. (2016) · International Conference on Engineering & MIS (ICEMIS) · doi:10.1109/icemis.2016.7745303 · Cited by 145
Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector
Cui, Y., Liu, W., Rani, P., & Alrasheedi, M. A. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120951 · Cited by 145
A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface
Ali, O., Ishak, M. K., Bhatti, M. K. L., Khan, I., & Kim, K. (2022) · Sensors · doi:10.3390/s22030995 · Cited by 165
“IoT functional elements and associated technologies overview [48].”
BackgroundInfluential
Missing Value Imputation for Industrial IoT Sensor Data With Large Gaps
Liu, Y., Dillon, T. S., Yu, W., Rahayu, W. J., & Mostafa, F. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2970467 · Cited by 144
Green IoT: A Review and Future Research Directions
Alsharif, M. H., Jahid, A., Kelechi, A. H., & Kannadasan, R. (2023) · Symmetry · doi:10.3390/sym15030757 · Cited by 144
“It is anticipated that the global economic impact of the IoT will be between USD 2.7 trillion and 6.2 trillion by 2025 [1] due to IoT devices that are a critical component of emerging applications and play a central role in the widespread adoption of machine type communications, as shown in Figure…”
BackgroundInfluential
End-to-End Delay Modeling for Embedded VNF Chains in 5G Core Networks
Ye, Q. J., Zhuang, W., Li, X., & Rao, J. B. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2853708 · Cited by 142
Collaboration of Drone and Internet of Public Safety Things in Smart Cities: An Overview of QoS and Network Performance Optimization
Alsamhi, S. H., Ma, O., Ansari, M. S., & Gupta, S. K. (2019) · Drones · doi:10.3390/drones3010013 · Cited by 144
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook
Santos, M. A. G. D., Muñoz, R., Olivares, R., Filho, P. P. R., Ser, J. D., & de Albuquerque, V. H. C. (2019) · Information Fusion · doi:10.1016/j.inffus.2019.06.004 · Cited by 142
SeArch: A Collaborative and Intelligent NIDS Architecture for SDN-Based Cloud IoT Networks
Nguyen, T. G., Phan, T. V., Nguyen, B. T., So–In, C., Baig, Z. A., & Sanguanpong, S. (2019) · IEEE Access · doi:10.1109/access.2019.2932438 · Cited by 142
Security Considerations for Internet of Things: A Survey
Jurcut, A. D., Niculcea, T., Ranaweera, P. S., & Le‐Khac, N. (2020) · SN Computer Science · doi:10.1007/s42979-020-00201-3 · Cited by 149
Low-Cost Water Quality Sensors for IoT: A Systematic Review
de Camargo, E. T., Spanhol, F. A., Slongo, J. S., da Silva, M. V. R., Pazinato, J., Lobo, A. V. D. L., Coutinho, F. R., Pfrimer, F. W. D., Lindino, C. A., Oyamada, M. S., et al. (2023) · Sensors · doi:10.3390/s23094424 · Cited by 142
An Internet of Things-based health prescription assistant and its security system design
Hossain, M., Islam, S. M. R., Ali, F., Kwak, K.-S., & Hasan, R. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.11.020 · Cited by 145
Colorimetric Sensors for Toxic and Hazardous Gas Detection: A Review
Cho, S. H., Suh, J. M., Eom, T. H., Kim, T., & Jang, H. W. (2020) · Electronic Materials Letters · doi:10.1007/s13391-020-00254-9 · Cited by 140
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce
Ramírez-Gallego, S., Fernández, A., García, S., Chen, M., & Herrera, F. (2018) · Information Fusion · doi:10.1016/j.inffus.2017.10.001 · Cited by 140
ELNIDS: Ensemble Learning based Network Intrusion Detection System for RPL based Internet of Things
Verma, A., & Ranga, V. (2019) · International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU) · doi:10.1109/iot-siu.2019.8777504 · Cited by 140
A comprehensive survey on enhancements and limitations of the RPL protocol: A focus on the objective function
Lamaazi, H., & Benamar, N. (2019) · Ad Hoc Networks · doi:10.1016/j.adhoc.2019.102001 · Cited by 140
A Comprehensive Survey on Imputation of Missing Data in Internet of Things
Adhikari, D., Jiang, W., Zhan, J., He, Z., Rawat, D. B., Aickelin, U., & Khorshidi, H. A. (2022) · ACM Computing Surveys · doi:10.1145/3533381 · Cited by 159
“IoT architecture consists of sensing/ object layer, network layer, and application layer [5], [74].”
Background
Wearable devices for glucose monitoring: A review of state-of-the-art technologies and emerging trends
Mansour, M., Darweesh, M. S., & Soltan, A. (2024) · Alexandria Engineering Journal · doi:10.1016/j.aej.2024.01.021 · Cited by 165
Internet of Things: a comprehensive overview, architectures, applications, simulation tools, challenges and future directions
Choudhary, A. (2024) · Discover Internet of Things · doi:10.1007/s43926-024-00084-3 · Cited by 192
Industrial Internet of Things
Serpanos, D. N., & Wolf, M. (2017) · Springer eBooks · doi:10.1007/978-3-319-69715-4_5 · Cited by 139
Cloud-Based Battery Condition Monitoring and Fault Diagnosis Platform for Large-Scale Lithium-Ion Battery Energy Storage Systems
Kim, T., Makwana, D., Adhikaree, A., Vagdoda, J., & Lee, Y. (2018) · Energies · doi:10.3390/en11010125 · Cited by 141
Survey on recent advances in IoT application layer protocols and machine learning scope for research directions
Donta, P. K., Srirama, S. N., Amgoth, T., & Annavarapu, C. S. R. (2021) · Digital Communications and Networks · doi:10.1016/j.dcan.2021.10.004 · Cited by 148
“In [6, 7, 22, 8], the authors covered various IoT protocols supporting the application, network, and physical layers.”
Background
How Machine Learning Changes the Nature of Cyberattacks on IoT Networks: A Survey
Bout, É., Loscrì, V., & Gallais, A. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3127267 · Cited by 150
UAV-Enabled Mobile Edge-Computing for IoT Based on AI: A Comprehensive Review
Yazid, Y., Ez‐zazi, I., González, A. G., Oualkadi, A. E., & Arioua, M. (2021) · Drones · doi:10.3390/drones5040148 · Cited by 143
Industrial Internet of Things: A Review of Improvements Over Traditional SCADA Systems for Industrial Automation
Babayiğit, B., & Abubaker, M. (2023) · IEEE Systems Journal · doi:10.1109/jsyst.2023.3270620 · Cited by 166
Blockchain based proxy re-encryption scheme for secure IoT data sharing
Manzoor, A. (2019) · VUBIR (Vrije Universiteit Brussel) · doi:10.1109/bloc.2019.8751336 · Cited by 138
Proxy re-encryption enabled secure and anonymous IoT data sharing platform based on blockchain
Manzoor, A., Braeken, A., Kanhere, S. S., Ylianttila, M., & Liyanage, M. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102917 · Cited by 138
“many different types of applications such as smart home, smart city, wearable, healthcare, smart grid, autonomous vehicles, smart farms, industries and manufacturing, and retail sector(Al-Fuqaha et al., 2015).”
Background
A Comprehensive Survey on Machine Learning‐Based Intrusion Detection Systems for Secure Communication in Internet of Things
Kumar, S. V. N. S., Selvi, M., & Kannan, A. (2023) · Computational Intelligence and Neuroscience · doi:10.1155/2023/8981988 · Cited by 138
Sustainable and flexible industrial human machine interfaces to support adaptable applications in the Industry 4.0 paradigm
Ardanza, A., Moreno, A., Segura, Á., de la Cruz, M., & Aguinaga, D. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1572932 · Cited by 137
IoT-Enabled Gas Sensors: Technologies, Applications, and Opportunities
Gomes, J. B. A., Rodrigues, J. J. P. C., Rabêlo, R. A. L., Kumar, N., & Kozlov, S. A. (2019) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan8040057 · Cited by 137
IoTSim‐Edge: A simulation framework for modeling the behavior of Internet of Things and edge computing environments
Jha, D. N., Alwasel, K., Alshoshan, A., Huang, X., Naha, R. K., Battula, S. K., Garg, S., Puthal, D., James, P., Zomaya, A. Y., et al. (2020) · Software Practice and Experience · doi:10.1002/spe.2787 · Cited by 162
An overview of IoT architectures, technologies, and existing open-source projects
Domínguez-Bolaño, T., Campos, O., Barral, V., Escudero, C. J., & Garcia-Naya, J. A. (2022) · Internet of Things · doi:10.1016/j.iot.2022.100626 · Cited by 137
Improving Internet of Things (IoT) Security with Software-Defined Networking (SDN)
Hayajneh, A. A., Bhuiyan, M. Z. A., & McAndrew, I. R. (2020) · Computers · doi:10.3390/computers9010008 · Cited by 144
LoRaWAN Mesh Networks: A Review and Classification of Multihop Communication
Cotrim, J. R., & Kleinschmidt, J. H. (2020) · Sensors · doi:10.3390/s20154273 · Cited by 143
Bending Analysis of Polymer-Based Flexible Antennas for Wearable, General IoT Applications: A Review
Khan, M. U. A., Raad, R., Tubbal, F., Theoharis, P. I., Liu, S., & Foroughi, J. (2021) · Polymers · doi:10.3390/polym13030357 · Cited by 136
“ Sensors [133,134] are preliminary elements for IoTs.”
Background
Impact of IoT on Manufacturing Industry 4.0: A New Triangular Systematic Review
Kalsoom, T., Ahmed, S., Rafi-ul-Shan, P. M., Azmat, M., Akhtar, P., Pervez, Z., Imran, M. A., & Rehman, M. U. (2021) · Sustainability · doi:10.3390/su132212506 · Cited by 151
“Its fundamental principles of transparency and inclusivity enable researchers to have an objective overview of the findings and lessen bias and error issues [30,59].”
Background
The Interplay between the Internet of Things and agriculture: A bibliometric analysis and research agenda
Rejeb, A., Rejeb, K., Abdollahi, A., Al-Turjman, F. M., & Treiblmaier, H. (2022) · Internet of Things · doi:10.1016/j.iot.2022.100580 · Cited by 155
The Internet of Things for basic nursing care—A scoping review
Mieronkoski, R., Azimi, I., Rahmani, A. M., Aantaa, R., Terävä, V., Liljeberg, P., & Salanterä, S. (2017) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2017.01.009 · Cited by 144
Cognitive routing protocol for disaster-inspired Internet of Things
Al-Turjman, F. M. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.03.014 · Cited by 135
Design of a Wireless Sensor Network-Based IoT Platform for Wide Area and Heterogeneous Applications
Kuo, Y., Li, C.-L., Jhang, J.-H., & Lin, S. C. H. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2832664 · Cited by 135
Security, Privacy and Trust for Smart Mobile- Internet of Things (M-IoT): A Survey
Sharma, V., You, I., Andersson, K., Palmieri, F., Rehmani, M. H., & Lim, J.-D. (2020) · IEEE Access · doi:10.1109/access.2020.3022661 · Cited by 148
NOMA-Assisted Machine-Type Communications in UDN: State-of-the-Art and Challenges
Elbayoumi, M., Kamel, M., Hamouda, W., & Youssef, A. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2977845 · Cited by 135
The Internet of Things (IoT): a survey of techniques, operating systems, and trends
Shammar, E. A., & Zahary, A. T. (2019) · Library Hi Tech · doi:10.1108/lht-12-2018-0200 · Cited by 146
Internet of Robotic Things Intelligent Connectivity and Platforms
Vermesan, O., Bahr, R., Ottella, M., Serrano, M., Karlsen, T., Wahlstrøm, T., Sand, H. E., Ashwathnarayan, M., & Gamba, M. T. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.00104 · Cited by 134
Security Requirements for the Internet of Things: A Systematic Approach
Pal, S., Hitchens, M., Rabehaja, T., & Mukhopadhyay, S. C. (2020) · Sensors · doi:10.3390/s20205897 · Cited by 150
Survey on RPL enhancements: A focus on topology, security and mobility
Kamgueu, P. O., Nataf, E., & Ndié, T. D. (2018) · Computer Communications · doi:10.1016/j.comcom.2018.02.011 · Cited by 133
Machine Learning Algorithms for Smart Data Analysis in Internet of Things Environment: Taxonomies and Research Trends
Alsharif, M. H., Kelechi, A. H., Yahya, K. A., & Chaudhry, S. A. (2020) · Symmetry · doi:10.3390/sym12010088 · Cited by 142
Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multifog Networks
Baek, J.-Y., & Kaddoum, G. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3009540 · Cited by 133
Wireless-Powered Device-to-Device Communications With Ambient Backscattering: Performance Modeling and Analysis
Lu, X., Jiang, H., Niyato, D. T., Kim, D. I., & Han, Z. (2017) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2779857 · Cited by 132
Optimisation of the resource efficiency of food manufacturing via the Internet of Things
Jagtap, S., Garcia‐Garcia, G., & Rahimifard, S. (2021) · Computers in Industry · doi:10.1016/j.compind.2021.103397 · Cited by 132
Backscatter Communication Meets Practical Battery-Free Internet of Things: A Survey and Outlook
Jiang, T., Zhang, Y., Ma, W., Peng, M., Peng, Y., Feng, M., & Liu, G. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3278239 · Cited by 134
On the Fundamental Limits of Random Non-Orthogonal Multiple Access in Cellular Massive IoT
Shirvanimoghaddam, M., Condoluci, M., Dohler, M., & Johnson, S. J. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2724442 · Cited by 140
A Secure Communicating Things Network Framework for Industrial IoT using Blockchain Technology
Rathee, G., Sharma, A., Kumar, R., & Iqbal, R. (2019) · Ad Hoc Networks · doi:10.1016/j.adhoc.2019.101933 · Cited by 133
A paradigm shift fully self-powered long-distance wireless sensing solution enabled by discharge-induced displacement current
Wang, H., Wang, J., Yao, K., Fu, J., Xia, X., Zhang, R., Li, J., Xu, G., Wang, L., Yang, J., et al. (2021) · Science Advances · doi:10.1126/sciadv.abi6751 · Cited by 132
Sensing, communication and security planes: A new challenge for a smart city system design
Habibzadeh, H., Soyata, T., Kantarcı, B., Boukerche, A., & Kaptan, C. (2018) · Computer Networks · doi:10.1016/j.comnet.2018.08.001 · Cited by 139
Cellular Communications in Ocean Waves for Maritime Internet of Things
Huo, Y., Dong, X., & Beatty, S. J. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2988634 · Cited by 130
Cyber Attacks on Smart Farming Infrastructure
Sontowski, S., Gupta, M., Chukkapalli, S. S. L., Abdelsalam, M., Mittal, S., Joshi, A., & Sandhu, R. S. (2020) · IEEE International Conference on Collaboration and Internet Computing (CIC) · doi:10.1109/cic50333.2020.00025 · Cited by 130
Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress
Srivastava, J., Routray, S., Ahmad, S., & Waris, M. M. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/7218113 · Cited by 130
“[3] presented the use of IoTfor checking environmental conditions with the help of disappointment figures, sullying control, and alarm trigger under crisis.”
Method
Retracted
Multifunctional microwave absorption materials: construction strategies and functional applications
Xiao, J., He, M., Zhan, B., Guo, H., Yang, J., Zhang, Y., Qi, X., & Gu, J. (2024) · Materials Horizons · doi:10.1039/d4mh00793j · Cited by 137
Machine Learning in IoT Security: Current Solutions and Future Challenges
Hussain, F., Hussain, R., Hassan, S. A., & Hossain, E. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2986444 · Cited by 129
A Multi-Patient Data-Driven Approach to Blood Glucose Prediction
Aliberti, A., Pupillo, I., Terna, S., Macii, E., Cataldo, S. D., Patti, E., & Acquaviva, A. (2019) · IEEE Access · doi:10.1109/access.2019.2919184 · Cited by 134
An intelligent logistics service system for enhancing dispatching operations in an IoT environment
Wang, J., Lim, M. K., Zhan, Y., & Wang, X. (2020) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2020.101886 · Cited by 129
A Survey on Attribute-Based Encryption Schemes Suitable for the Internet of Things
Rasori, M., Manna, M. L., Perazzo, P., & Dini, G. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3154039 · Cited by 134
Low-Power Wireless for the Internet of Things: Standards and Applications
Nikoukar, A., Raza, S., Poole, A., Güneş, M., & Dezfouli, B. (2018) · IEEE Access · doi:10.1109/access.2018.2879189 · Cited by 141
Cryptographic technologies and protocol standards for Internet of Things
Zeadally, S., Das, A. K., & Sklavos, N. (2019) · Internet of Things · doi:10.1016/j.iot.2019.100075 · Cited by 127
Design, Implementation, and Deployment of an IoT Based Smart Energy Management System
Saleem, M., Usman, M. R., & Shakir, M. (2021) · IEEE Access · doi:10.1109/access.2021.3070960 · Cited by 136
Enhancing Healthcare through Sensor-Enabled Digital Twins in Smart Environments: A Comprehensive Analysis
Adibi, S., Rajabifard, A., Shojaei, D., & Wickramasinghe, N. S. (2024) · Sensors · doi:10.3390/s24092793 · Cited by 146
“Digital twins enrich this landscape by enabling a predictive and personalized approach to automation, learning from user interactions and preferences to anticipate needs and adjust environments accordingly [50].”
Background
Proof of Authentication: IoT-Friendly Blockchains
Puthal, D., & Mohanty, S. P. (2019) · IEEE Potentials · doi:10.1109/mpot.2018.2850541 · Cited by 127
Softwarization and virtualization in 5G mobile networks: benefits, trends and challenges
Condoluci, M., & Mahmoodi, T. (2018) · Computer Networks · doi:10.1016/j.comnet.2018.09.005 · Cited by 127
RF Energy Harvesting and Transfer in Cognitive Radio Sensor Networks: Opportunities and Challenges
Ren, J., Hu, J., Zhang, D., Guo, H., Zhang, Y., & Shen, X. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700519 · Cited by 127
Computation Energy Efficiency Maximization for a NOMA-Based WPT-MEC Network
Shi, L., Ye, Y., Chu, X., & Lu, G. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3048937 · Cited by 127
“I N THE era of Internet of Things (IoT), there will be massive smart devices irregularly deployed in various communication systems, e.g., intelligent agriculture and smart home automation, to monitor, generate data, and process the data timely for intelligent services [1], [2].”
Background
Web Performance Evaluation for Internet of Things Applications
Babovic, Z. B., Protic, J. Z., & Milutinović, V. M. (2016) · IEEE Access · doi:10.1109/access.2016.2615181 · Cited by 126
A comprehensive health assessment framework to facilitate IoT-assisted smart workouts: A predictive healthcare perspective
Bhatia, M., & Sood, S. K. (2017) · Computers in Industry · doi:10.1016/j.compind.2017.06.009 · Cited by 128
Deep Learning-Constructed Joint Transmission-Recognition for Internet of Things
Lee, C., Lin, J.-W., Chen, P.-H., & Chang, Y.-C. (2019) · IEEE Access · doi:10.1109/access.2019.2920929 · Cited by 123
Practical Aspects for the Integration of 5G Networks and IoT Applications in Smart Cities Environments
Minoli, D., & Occhiogrosso, B. (2019) · Wireless Communications and Mobile Computing · doi:10.1155/2019/5710834 · Cited by 126
Understanding Edge Computing: Engineering Evolution With Artificial Intelligence
Huh, J., & Seo, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2945338 · Cited by 128
Randomness improvement of chaotic maps for image encryption in a wireless communication scheme using PIC-microcontroller via Zigbee channels
García-Guerrero, E. E., Inzunza-González, E., López-Bonilla, O. R., Cárdenas-Valdez, J. R., & Tlelo‐Cuautle, E. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.109646 · Cited by 127
A survey on machine learning in Internet of Things: Algorithms, strategies, and applications
Messaoud, S., Bradai, A., Bukhari, S. H. R., Quang, P. T. A., Ahmed, O. B., & Atri, M. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100314 · Cited by 135
A systematic review on Deep Learning approaches for IoT security
Aversano, L., Bernardi, M. L., Cimitile, M., & Pecori, R. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100389 · Cited by 141
Toward efficient smartification of the Internet of Things (IoT) services
Bello, O., & Zeadally, S. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.09.083 · Cited by 125
Smart CEI Moncloa: An IoT-based Platform for People Flow and Environmental Monitoring on a Smart University Campus
Álvarez-Campana, M., López, G., Vázquez, E., Villagrá, V. A., & Berrocal, J. (2017) · Sensors · doi:10.3390/s17122856 · Cited by 125
Sensors of Smart Devices in the Internet of Everything (IoE) Era: Big Opportunities and Massive Doubts
Masoud, M. Z., Jaradat, Y. M., Manasrah, A. A., & Jannoud, I. (2019) · Journal of Sensors · doi:10.1155/2019/6514520 · Cited by 125
A Hybrid DQN and Optimization Approach for Strategy and Resource Allocation in MEC Networks
Wu, Y.-C., Dinh, T. Q., Fu, Y., Lin, C., & Quek, T. Q. S. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3057882 · Cited by 131
“A S ONE of the most promising technologies for the 5G era, Internet of Things (IoT) has shown its potential on renovating people’s lives [1] via analyzing the information collected from heterogeneous devices and adapting to user’s behaviors [2].”
Background
Resource Allocation Schemes for 5G Network: A Systematic Review
Kamal, M. A., Raza, H. W., Alam, M. M., Su’ud, M. M., & Sajak, A. A. B. (2021) · Sensors · doi:10.3390/s21196588 · Cited by 134
Challenges of securing Internet of Things devices: A survey
Samaila, M. G., Neto, M., Fernandes, D. A. B., Freire, M. M., & Inácio, P. R. M. (2018) · Security and Privacy · doi:10.1002/spy2.20 · Cited by 124
Container Migration in the Fog: A Performance Evaluation
Puliafito, C., Vallati, C., Mingozzi, E., Merlino, G., Longo, F., & Puliafito, A. (2019) · Sensors · doi:10.3390/s19071488 · Cited by 127
Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things
Haripriya, A., & Kanagasabai, K. (2019) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/s13638-019-1402-8 · Cited by 124
IoT and UAV Integration in 5G Hybrid Terrestrial-Satellite Networks
Marchese, M., Moheddine, A., & Patrone, F. (2019) · Sensors · doi:10.3390/s19173704 · Cited by 124
A Survey of Security Challenges, Attacks Taxonomy and Advanced Countermeasures in the Internet of Things
Khanam, S., Ahmedy, I., Idris, M. Y. I., Jaward, M. H., & Sabri, A. Q. M. (2020) · IEEE Access · doi:10.1109/access.2020.3037359 · Cited by 144
Authentication and Identity Management of IoHT Devices: Achievements, Challenges, and Future Directions
Mamdouh, M., Awad, A. I., Khalaf, A. A. M., & Hamed, H. F. A. (2021) · Computers & Security · doi:10.1016/j.cose.2021.102491 · Cited by 128
How the internet of things technology improves agricultural efficiency
Duguma, A. L., & Bai, X. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-11046-0 · Cited by 124
A review on IoT healthcare monitoring applications and a vision for transforming sensor data into real-time clinical feedback
Nguyen, H. H., Mirza, F., Naeem, M. A., & Nguyen, M. (2017) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd.2017.8066704 · Cited by 123
The Future Internet of Things: Secure, Efficient, and Model-Based
Siegel, J. E., Kumar, S., & Sarma, S. E. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2755620 · Cited by 123
Classification of Indoor Environments for IoT Applications: A Machine Learning Approach
AlHajri, M. I., Ali, N. T., & Shubair, R. M. (2018) · IEEE Antennas and Wireless Propagation Letters · doi:10.1109/lawp.2018.2869548 · Cited by 123
A Survey of Protocols and Standards for Internet of Things
Salman, T., & Jain, R. K. (2017) · doi:10.34048/2017.1.f3 · Cited by 140
An Overview of Cyber-Physical Security of Battery Management Systems and Adoption of Blockchain Technology
Kim, T., Ochoa, J. J., Faika, T., Mantooth, H. A., Di, J., Li, Q., & Lee, Y. (2020) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2020.2968490 · Cited by 131
Use and Adaptations of Machine Learning in Big Data—Applications in Real Cases in Agriculture
Cravero, A., & Sepúlveda, S. (2021) · Electronics · doi:10.3390/electronics10050552 · Cited by 134
“In SLR, threats to construct validity are relevant to the classiﬁcation of selected studies [90].”
Background
Security Challenges and Opportunities for Smart Contracts in Internet of Things: A Survey
Peng, K., Li, M., Huang, H., Wang, C., Wan, S., & Choo, K.-K. R. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3074544 · Cited by 130
Do we all really know what a fog node is? Current trends towards an open definition
Marín‐Tordera, E., Masip‐Bruin, X., García, J., Jukan, A., Ren, G., & Zhu, J. (2017) · Computer Communications · doi:10.1016/j.comcom.2017.05.013 · Cited by 205

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

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

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks