Swarm intelligence in internet of medical things: a review

Roohallah Alizadehsani*, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, H. M. Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

30 Citations (Scopus)
79 Downloads (Pure)

Abstract

Continuous advancements of technologies such as machine-to-machine interactions and big data analysis have led to the internet of things (IoT) making information sharing and smart decision-making possible using everyday devices. On the other hand, swarm intelligence (SI) algorithms seek to establish constructive interaction among agents regardless of their intelligence level. In SI algorithms, multiple individuals run simultaneously and possibly in a cooperative manner to address complex nonlinear problems. In this paper, the application of SI algorithms in IoT is investigated with a special focus on the internet of medical things (IoMT). The role of wearable devices in IoMT is briefly reviewed. Existing works on applications of SI in addressing IoMT problems are discussed. Possible problems include disease prediction, data encryption, missing values prediction, resource allocation, network routing, and hardware failure management. Finally, research perspectives and future trends are outlined.

Original languageEnglish
Article number1466
Pages (from-to)1-25
Number of pages25
JournalSensors
Volume23
Issue number3
DOIs
Publication statusPublished - 1 Feb 2023

Bibliographical note

Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • internet of things
  • internet of medical things
  • internet of things in health
  • swarm intelligence algorithm
  • wearable devices
  • wireless sensor network

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