Using Swarm Intelligence Algorithms for Optimization in IoT Applications

Internet of Things (IoT) is considered as the next industrial revolution in the years ahead. Many devices will have been connected to the Internet and more and more devices were added to them. The number of these types of devices is increased rapidly. So, management of them needs advanced technologi...

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Published in:2022 IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC) pp. 000359 - 000364
Main Authors: Roshanzamir, Mohamad, Nematollahi, Mohammad Ali, Darbandy, Mohammad Tayarani, Roshanzamir, Mahdi, Alizadehsani, Roohallah, Shoeibi, Afshin, Ahmadian, Davood
Format: Conference Proceeding
Language:English
Published: IEEE 06.07.2022
Subjects:
Behavioral sciences
Internet of Things
Machine learning
Machine learning algorithms
Medical services
Optimization
swarm intelligence
Unmanned Aerial Vehicle
Wireless networks
wireless sensor network
Wireless sensor networks
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Abstract Internet of Things (IoT) is considered as the next industrial revolution in the years ahead. Many devices will have been connected to the Internet and more and more devices were added to them. The number of these types of devices is increased rapidly. So, management of them needs advanced technologies. Optimization of different problems in IoT is an essential subject of many researches and Swarm Intelligence algorithms (SI) are one of the most successful methods in this field. They were inspired by the collective behavior of simple creatures which communicate directly and indirectly with each other. Although they are considered as simple agents, their collective behavior is smart. They can overcome most problems in their life using collective behavior. In this research, we investigated some of the most common optimization problems in IoT and the SI algorithms which are used to solve them.
AbstractList Internet of Things (IoT) is considered as the next industrial revolution in the years ahead. Many devices will have been connected to the Internet and more and more devices were added to them. The number of these types of devices is increased rapidly. So, management of them needs advanced technologies. Optimization of different problems in IoT is an essential subject of many researches and Swarm Intelligence algorithms (SI) are one of the most successful methods in this field. They were inspired by the collective behavior of simple creatures which communicate directly and indirectly with each other. Although they are considered as simple agents, their collective behavior is smart. They can overcome most problems in their life using collective behavior. In this research, we investigated some of the most common optimization problems in IoT and the SI algorithms which are used to solve them.
Author Shoeibi, Afshin
Nematollahi, Mohammad Ali
Darbandy, Mohammad Tayarani
Roshanzamir, Mahdi
Roshanzamir, Mohamad
Alizadehsani, Roohallah
Ahmadian, Davood
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  givenname: Afshin
  surname: Shoeibi
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  givenname: Davood
  surname: Ahmadian
  fullname: Ahmadian, Davood
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SubjectTerms Behavioral sciences
Internet of Things
Machine learning
Machine learning algorithms
Medical services
Optimization
swarm intelligence
Unmanned Aerial Vehicle
Wireless networks
wireless sensor network
Wireless sensor networks
Title Using Swarm Intelligence Algorithms for Optimization in IoT Applications
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