A survey on machine learning in Internet of Things: Algorithms, strategies, and applications

@article{Messaoud2020ASO,
  title={A survey on machine learning in Internet of Things: Algorithms, strategies, and applications},
  author={Seifeddine Messaoud and Abbas Bradai and Syed Hashim Raza Bukhari and Pham Tran Anh Quang and Olfa Ben Ahmed and Mohamed Atri},
  journal={Internet Things},
  year={2020},
  volume={12},
  pages={100314}
}
Abstract In the IoT and WSN era, large number of connected objects and sensing devices are dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields and applications. To effectively run these complex networks of connected objects, there are several challenges like topology changes, link failures, memory constraints, interoperability, network congestion, coverage, scalability, network management, security, and privacy to name a few. Thus, to overcome these… 
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