Swarm Intelligence in Internet of Medical Things: A Review

Author:

Alizadehsani Roohallah1ORCID,Roshanzamir Mohamad2ORCID,Izadi Navid Hoseini3,Gravina Raffaele4ORCID,Kabir H. M. Dipu1,Nahavandi Darius1,Alinejad-Rokny Hamid567ORCID,Khosravi Abbas1,Acharya U. Rajendra8910ORCID,Nahavandi Saeid111ORCID,Fortino Giancarlo4ORCID

Affiliation:

1. Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Geelong, VIC 3216, Australia

2. Department of Computer Engineering, Faculty of Engineering, Fasa University, Vali asr Blvd, Fasa 74617-81189, Iran

3. Department of Electrical and Computer Engineering, Isfahan University of Technology, Daneshgah e Sanati Hwy, Isfahan 84156-83111, Iran

4. Department of Informatics, Modeling, Electronics and Systems (DIMES), University of Calabria, 87036 Cosenza, Italy

5. BioMedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW, Sydney, NSW 2052, Australia

6. UNSW Data Science Hub, The University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia

7. Health Data Analytics Program, AI-Enabled Processes (AIP) Research Centre, Macquarie University, Sydney, NSW 2109, Australia

8. Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore

9. Department of Biomedical Engineering, School of Science and Technology, SUSS University, Singapore 599494, Singapore

10. Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung 41354, Taiwan

11. Harvard Paulson School of Engineering and Applied Sciences, Harvard University, Allston, MA 02134, USA

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.

Funder

Italian MIUR, PRIN 2020 Project “COMMON-WEARS”

SPINE-BoK

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference113 articles.

1. Application of artificial intelligence in wearable devices: Opportunities and challenges;Nahavandi;Comput. Methods Programs Biomed.,2022

2. Internet of Things (IoT): A vision, architectural elements, and future directions;Gubbi;Future Gener. Comput. Syst.,2013

3. Sotomayor, M., Pérez-Castrillo, J.D., and Castiglione, F. (2020). Complex Social and Behavioral Systems: Game Theory and Agent-Based Models, Springer Nature.

4. Fister Jr, I., Yang, X.S., Fister, I., Brest, J., and Fister, D. (2013). A brief review of nature-inspired algorithms for optimization. arXiv.

5. An efficient Swarm-Intelligence approach for task scheduling in cloud-based internet of things applications;Boveiri;J. Ambient. Intell. Humaniz. Comput.,2019

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3