Swarm Intelligence in Internet of Medical Things: A Review
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/3/1466 |
| _version_ | 1797623195200651264 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Roohallah Alizadehsani |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T09:25:18Z |
| format | Article |
| id | doaj.art-72388fc47be543fe8476888138fbc7bb |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T09:25:18Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-72388fc47be543fe8476888138fbc7bb2023-11-16T18:01:27ZengMDPI AGSensors1424-82202023-01-01233146610.3390/s23031466Swarm Intelligence in Internet of Medical Things: A ReviewRoohallah Alizadehsani0Mohamad Roshanzamir1Navid Hoseini Izadi2Raffaele Gravina3H. M. Dipu Kabir4Darius Nahavandi5Hamid Alinejad-Rokny6Abbas Khosravi7U. Rajendra Acharya8Saeid Nahavandi9Giancarlo Fortino10Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Geelong, VIC 3216, AustraliaDepartment of Computer Engineering, Faculty of Engineering, Fasa University, Vali asr Blvd, Fasa 74617-81189, IranDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Daneshgah e Sanati Hwy, Isfahan 84156-83111, IranDepartment of Informatics, Modeling, Electronics and Systems (DIMES), University of Calabria, 87036 Cosenza, ItalyInstitute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Geelong, VIC 3216, AustraliaInstitute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Geelong, VIC 3216, AustraliaBioMedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW, Sydney, NSW 2052, AustraliaInstitute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Geelong, VIC 3216, AustraliaDepartment of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, SingaporeInstitute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Geelong, VIC 3216, AustraliaDepartment of Informatics, Modeling, Electronics and Systems (DIMES), University of Calabria, 87036 Cosenza, ItalyContinuous 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.https://www.mdpi.com/1424-8220/23/3/1466internet of thingsinternet of medical thingsinternet of things in healthswarm intelligence algorithmwearable deviceswireless sensor network |
| spellingShingle | 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 Swarm Intelligence in Internet of Medical Things: A Review Sensors internet of things internet of medical things internet of things in health swarm intelligence algorithm wearable devices wireless sensor network |
| title | Swarm Intelligence in Internet of Medical Things: A Review |
| title_full | Swarm Intelligence in Internet of Medical Things: A Review |
| title_fullStr | Swarm Intelligence in Internet of Medical Things: A Review |
| title_full_unstemmed | Swarm Intelligence in Internet of Medical Things: A Review |
| title_short | Swarm Intelligence in Internet of Medical Things: A Review |
| title_sort | swarm intelligence in internet of medical things a review |
| topic | internet of things internet of medical things internet of things in health swarm intelligence algorithm wearable devices wireless sensor network |
| url | https://www.mdpi.com/1424-8220/23/3/1466 |
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