Journal Article

Swarm Intelligence in Internet of Medical Things: A Review

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

2023

Overview

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.

• Publisher: MDPI AG,MDPI
• Subject: Agricultural production / Algorithms / Australia / Cognition / Data processing / Decision-making / Energy consumption / Humans / Intelligence / Internet / internet of medical things / Internet of Things / internet of things in health / Localization / Medical care / Optimization / Sensors / Swarm intelligence / swarm intelligence algorithm / Technology application / Unmanned aerial vehicles / wearable devices / Wearable Electronic Devices / wireless sensor network