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A systematic literature review of machine learning applications in IoT

https://doi.org/10.1002/dac.5500
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1 of the 81 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s12083-019-00800-9 (notice 2022-10-08).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781119763499.ch11openalex-snapshot
Opportunities and Challenges in Machine Learning With IoT
inferredcites →https://doi.org/10.1002/dac.4169openalex-snapshot
Securing Internet of Things (IoT) with machine learning
inferredcites →https://doi.org/10.1002/dac.4646openalex-snapshot
Random forest classifier‐based safe and reliable routing for opportunistic IoT networks
inferredcites →https://doi.org/10.1002/ett.4246openalex-snapshot
Selection of relays based on the classification of mobility‐type and localized network metrics in the Internet of Vehicles
inferredcites →https://doi.org/10.1007/978-3-030-22475-2_1openalex-snapshot
A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science
inferredcites →https://doi.org/10.1007/978-3-030-34989-9_11openalex-snapshot
PESSHIoT: Smart Platform for Monitoring and Controlling Smart Home Devices and Sensors
inferredcites →https://doi.org/10.1007/978-3-030-37468-6_6openalex-snapshot
Machine Learning for IoT Systems
inferredcites →https://doi.org/10.1007/978-3-030-38557-6_5openalex-snapshot
Applications of Big Data Analytics and Machine Learning in the Internet of Things
inferredcites →https://doi.org/10.1007/978-981-10-4585-1_10openalex-snapshot
EKMT-k-Means Clustering Algorithmic Solution for Low Energy Consumption for Wireless Sensor Networks Based on Minimum Mean Distance from Base Station
inferredcites →https://doi.org/10.1007/978-981-15-2780-7_123openalex-snapshot
Survey on Machine Learning-Based Clustering Algorithms for IoT Data Cluster Analysis
inferredcites →https://doi.org/10.1007/s00521-019-04682-zopenalex-snapshot
Unstructured big data analysis algorithm and simulation of Internet of Things based on machine learning
inferredcites →https://doi.org/10.1007/s11227-017-2115-6openalex-snapshot
An improved ant colony optimization-based approach with mobile sink for wireless sensor networks
inferredcites →https://doi.org/10.1007/s11235-013-9766-2openalex-snapshot
Routing in mobile wireless sensor network: a survey
inferredcites →https://doi.org/10.1007/s11276-015-1169-8openalex-snapshot
Efficient cluster head selection using Naïve Bayes classifier for wireless sensor networks
inferredcites →https://doi.org/10.1007/s11276-020-02331-1openalex-snapshot
RLProph: a dynamic programming based reinforcement learning approach for optimal routing in opportunistic IoT networks
inferredcites →https://doi.org/10.1007/s11277-017-4934-4openalex-snapshot
A New Range-Free and Storage-Efficient Localization Algorithm Using Neural Networks in Wireless Sensor Networks
inferredcites →https://doi.org/10.1007/s11277-019-06405-yopenalex-snapshot
A Review of Security in Internet of Things
inferredcites →https://doi.org/10.1007/s12083-019-00800-9openalex-snapshot
RETRACTED ARTICLE: Machine learning based multi scale parallel K-means++ clustering for cloud assisted internet of things
inferredcites →https://doi.org/10.1016/j.actbio.2021.05.053openalex-snapshot
Machine Learning and Big Data Provide Crucial Insight for Future Biomaterials Discovery and Research
inferredcites →https://doi.org/10.1016/j.adhoc.2019.101913openalex-snapshot
Machine learning for wireless communications in the Internet of Things: A comprehensive survey
inferredcites →https://doi.org/10.1016/j.adhoc.2022.102790openalex-snapshot
A review of AI-enabled routing protocols for UAV networks: Trends, challenges, and future outlook
inferredcites →https://doi.org/10.1016/j.cie.2020.106854openalex-snapshot
A review of applications in federated learning
inferredcites →https://doi.org/10.1016/j.comcom.2018.12.001openalex-snapshot
GMMR: A Gaussian mixture model based unsupervised machine learning approach for optimal routing in opportunistic IoT networks
inferredcites →https://doi.org/10.1016/j.comcom.2021.05.007openalex-snapshot
Reinforcement learning-enabled Intelligent Device-to-Device (I-D2D) communication in Narrowband Internet of Things (NB-IoT)
inferredcites →https://doi.org/10.1016/j.comnet.2021.108057openalex-snapshot
A deep reinforcement learning-based multi-optimality routing scheme for dynamic IoT networks
inferredcites →https://doi.org/10.1016/j.compeleceng.2016.09.006openalex-snapshot
Concept drift detection for data stream learning based on angle optimized global embedding and principal component analysis in sensor networks
inferredcites →https://doi.org/10.1016/j.cose.2020.101921openalex-snapshot
A survey of machine learning-based solutions to protect privacy in the Internet of Things
inferredcites →https://doi.org/10.1016/j.eswa.2015.09.040openalex-snapshot
Fuzzy rule-based faulty node classification and management scheme for large scale wireless sensor networks
inferredcites →https://doi.org/10.1016/j.eswa.2020.113251openalex-snapshot
Integrating complex event processing and machine learning: An intelligent architecture for detecting IoT security attacks
inferredcites →https://doi.org/10.1016/j.jksuci.2019.02.003openalex-snapshot
Clustering based semi-supervised machine learning for DDoS attack classification
inferredcites →https://doi.org/10.1016/j.jnca.2020.102630openalex-snapshot
Machine learning based solutions for security of Internet of Things (IoT): A survey
inferredcites →https://doi.org/10.1016/j.measurement.2021.108974openalex-snapshot
Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities
inferredcites →https://doi.org/10.1016/j.neucom.2021.06.093openalex-snapshot
Routing optimization meets Machine Intelligence: A perspective for the future network
inferredcites →https://doi.org/10.1109/access.2019.2923840openalex-snapshot
Routing in Flying Ad Hoc Networks: Survey, Constraints, and Future Challenge Perspectives
inferredcites →https://doi.org/10.1109/access.2020.2988796openalex-snapshot
Unsupervised K-Means Clustering Algorithm
inferredcites →https://doi.org/10.1109/access.2020.2996214openalex-snapshot
A Machine Learning Security Framework for Iot Systems
inferredcites →https://doi.org/10.1109/access.2021.3069210openalex-snapshot
Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges
inferredcites →https://doi.org/10.1109/access.2021.3103725openalex-snapshot
Recent Security Trends in Internet of Things: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/bigdata.2013.6691653openalex-snapshot
Big data analytics on high Velocity streams: A case study
inferredcites →https://doi.org/10.1109/comsnets53615.2022.9668530openalex-snapshot
Blockchain-enabled Privacy Preserving of IoT Data for Sustainable Smart Cities using Machine Learning
inferredcites →https://doi.org/10.1109/comst.2019.2924243openalex-snapshot
Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues
inferredcites →https://doi.org/10.1109/empdp.2019.8671571openalex-snapshot
Attack Detection in IoT Critical Infrastructures: A Machine Learning and Big Data Processing Approach
inferredcites →https://doi.org/10.1109/icc40277.2020.9149039openalex-snapshot
Reinforcement Learning-Based Routing Protocol for Opportunistic Networks
inferredcites →https://doi.org/10.1109/icc40277.2020.9149180openalex-snapshot
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations
inferredcites →https://doi.org/10.1109/icce50685.2021.9427586openalex-snapshot
Clustering based Rewarding Algorithm to Detect Adversaries in Federated Machine Learning based IoT Environment
inferredcites →https://doi.org/10.1109/iccubea.2018.8697857openalex-snapshot
A Review of Machine Learning and Deep Learning Applications
inferredcites →https://doi.org/10.1109/idsta53674.2021.9660800openalex-snapshot
Using Machine Learning for malware traffic prediction in IoT networks
inferredcites →https://doi.org/10.1109/jiot.2020.3026826openalex-snapshot
Large-Scale High-Utility Sequential Pattern Analytics in Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2020.3032896openalex-snapshot
Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments
inferredcites →https://doi.org/10.1109/jiot.2021.3064384openalex-snapshot
An IoT-Based Hedge System for Solar Power Generation
inferredcites →https://doi.org/10.1109/jiot.2021.3077803openalex-snapshot
Federated-Learning-Based Anomaly Detection for IoT Security Attacks
inferredcites →https://doi.org/10.1109/jiot.2021.3092275openalex-snapshot
Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things
inferredcites →https://doi.org/10.1109/jsen.2020.2989871openalex-snapshot
A Carrier-Based Sensor Deployment Algorithm for Perception Layer in the IoT Architecture
inferredcites →https://doi.org/10.1109/lwc.2016.2595576openalex-snapshot
Robust ANNs-Based WSN Localization in the Presence of Anisotropic Signal Attenuation
inferredcites →https://doi.org/10.1109/msp.2020.2975749openalex-snapshot
Federated Learning: Challenges, Methods, and Future Directions
inferredcites →https://doi.org/10.1109/tetc.2017.2671847openalex-snapshot
ELDC: An Artificial Neural Network Based Energy-Efficient and Robust Routing Scheme for Pollution Monitoring in WSNs
inferredcites →https://doi.org/10.1111/coin.12252openalex-snapshot
IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment
inferredcites →https://doi.org/10.1145/3316781.3317857openalex-snapshot
Machine Learning-Based Pre-Routing Timing Prediction with Reduced Pessimism
inferredcites →https://doi.org/10.1145/3368756.3368995openalex-snapshot
J48 algorithms of machine learning for predicting user's the acceptance of an E-orientation systems
inferredcites →https://doi.org/10.1145/961268.961272openalex-snapshot
Probabilistic routing in intermittently connected networks
inferredcites →https://doi.org/10.1155/2018/7560167openalex-snapshot
Novel Learning Algorithms for Efficient Mobile Sink Data Collection Using Reinforcement Learning in Wireless Sensor Network
inferredcites →https://doi.org/10.1155/2020/8856271openalex-snapshot
Q -Learning-Based High Credibility and Stability Routing Algorithm for Internet of Medical Things
inferredcites →https://doi.org/10.1155/2021/6876688openalex-snapshot
Fog Big Data Analysis for IoT Sensor Application Using Fusion Deep Learning
inferredcites →https://doi.org/10.1186/s13634-016-0355-xopenalex-snapshot
A survey of machine learning for big data processing
inferredcites →https://doi.org/10.1186/s40537-014-0007-7openalex-snapshot
Deep learning applications and challenges in big data analytics
inferredcites →https://doi.org/10.1186/s40537-019-0271-7openalex-snapshot
A new Internet of Things architecture for real-time prediction of various diseases using machine learning on big data environment
inferredcites →https://doi.org/10.1504/ijsnet.2017.084209openalex-snapshot
A comparative analysis of machine learning algorithms for faults detection in wireless sensor networks
inferredcites →https://doi.org/10.23919/mipro.2017.7973581openalex-snapshot
Brief review of self-organizing maps
inferredcites →https://doi.org/10.29027/ijirase.v4.i3.2020.675-680openalex-snapshot
Machine Learning Based Trust Routing for Clustered IoT devices
inferredcites →https://doi.org/10.3233/jifs-189782openalex-snapshot
Distributed probability density based multi-objective routing for Opp-IoT networks enabled by machine learning
inferredcites →https://doi.org/10.3389/fpsyg.2020.580820openalex-snapshot
Challenges and Future Directions of Big Data and Artificial Intelligence in Education
inferredcites →https://doi.org/10.3390/a13040102openalex-snapshot
A Case Study for a Big Data and Machine Learning Platform to Improve Medical Decision Support in Population Health Management
inferredcites →https://doi.org/10.3390/electronics10131539openalex-snapshot
An Overview of Machine Learning-Based Energy-Efficient Routing Algorithms in Wireless Sensor Networks
inferredcites →https://doi.org/10.3390/electronics11030421openalex-snapshot
Machine Learning Technologies for Big Data Analytics
inferredcites →https://doi.org/10.3390/electronics11060862openalex-snapshot
Machine Learning-Based Satellite Routing for SAGIN IoT Networks
inferredcites →https://doi.org/10.3390/en13051097openalex-snapshot
HEMS-IoT: A Big Data and Machine Learning-Based Smart Home System for Energy Saving
inferredcites →https://doi.org/10.3390/s17050969openalex-snapshot
Bayesian Device-Free Localization and Tracking in a Binary RF Sensor Network
inferredcites →https://doi.org/10.3390/s19091977openalex-snapshot
Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things
inferredcites →https://doi.org/10.3390/s20010038openalex-snapshot
Routing Schemes in FANETs: A Survey
inferredcites →https://doi.org/10.3390/smartcities3030050openalex-snapshot
A New SDN-Based Routing Protocol for Improving Delay in Smart City Environments
inferredcites →https://doi.org/10.4018/978-1-5225-7332-6.ch002openalex-snapshot
Application of Machine Learning Algorithms to the IoE

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9781394238033.ch5openalex-snapshot
Blockchain with Cloud Computing
inferred← citeshttps://doi.org/10.1007/978-3-032-10122-8_10openalex-snapshot
Machine Learning-Driven Social IoT: Advancing Inter-Connectivity, Intelligence, and Autonomous Systems
inferred← citeshttps://doi.org/10.1007/s10586-024-04388-5openalex-snapshot
Intrusion detection systems for IoT based on bio-inspired and machine learning techniques: a systematic review of the literature
inferred← citeshttps://doi.org/10.1007/s12083-025-02183-6openalex-snapshot
Toward a unified computing paradigm: a survey and roadmap for data management in integrated IoT, fog, and cloud services
inferred← citeshttps://doi.org/10.1016/j.iot.2024.101422openalex-snapshot
Securing smart agriculture networks using bio-inspired feature selection and transfer learning for effective image-based intrusion detection
inferred← citeshttps://doi.org/10.1109/ccpqt66408.2025.11383316openalex-snapshot
A Robust GNN-based Framework for IoT Anomaly Detection with Adaptive Attention and Adversarial Robustness
inferred← citeshttps://doi.org/10.1109/icnas59892.2023.10330519openalex-snapshot
Robust Intrusion Detection for IoT Networks: an Integrated CNN-LSTM-GRU Approach
inferred← citeshttps://doi.org/10.1109/iit59782.2023.10366486openalex-snapshot
Secure IIoT networks with hybrid CNN-GRU model using Edge-IIoTset
inferred← citeshttps://doi.org/10.22541/au.172526542.21100313/v1openalex-snapshot
Balancing DDoS Protection and SDN Control Functions: An Analysis
inferred← citeshttps://doi.org/10.3390/electronics12244925openalex-snapshot
Integration of Deep Learning into the IoT: A Survey of Techniques and Challenges for Real-World Applications
inferred← citeshttps://doi.org/10.3390/s23156850openalex-snapshot
High-Speed Network DDoS Attack Detection: A Survey
inferred← citeshttps://doi.org/10.3390/s24165150openalex-snapshot
Roadmap of Adversarial Machine Learning in Internet of Things-Enabled Security Systems
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