چکیده مقاله
Due to the rising application of Wireless Sensor Networks within the context of the Internet of Things, environment surveillance, intelligent industries, and healthcare, the availability of strong security along with low energy resources is an inherent challenge faced in the design process of Wireless Sensor Networks On the one hand, the processing capabilities, as well as the energy resources, are meager in sensor nodes, while, on the other hand, the concerns of security, threats, and vulnerabilities create significant impacts on the efficiency of these sensor networks During the last decade, Artificial Intelligence with areas including Machine Learning, Deep Learning, Evolutionary Algorithms, and Reinforcement Learning, has emerged with promising attributes to improve the efficiency, security, and energy resources of Wireless Sensor Networks In the course of my thesis, we will systematically review the latest works on the application of AI based solutions to enhance the security and energy efficiency aspects of WSN technology, from the year 19 until the year Y Yε To start, the basic challenges in the design of these sensor networks are presented, followed by the intelligent application of AI solutions, systematically classified on the two axes: 'security' and 'energy efficiency ' The main outcomes show the efficiency of the combination of Fed Learning, Edge Learning, and TinyML solutions in defining the future course of intelligent self adaptive sensor network development
کلیدواژهها
نویسندگان
Ramin Saheb Ekhtiari
M Sc Student, Department of Computer Engineering, Hamedan Branch, Islamic Azad University, Hamedan, Iran
Mohammad Mahdi Shirmohammadi
Assistant Professor, Department of Computer Engineering, Hamedan Branch, Islamic Azad University, Hamedan, Iran
شیوه ارجاع
Saheb Ekhtiari, Ramin and Shirmohammadi, Mohammad Mahdi,1404,Analytical review of artificial intelligence applications in improving security and energy efficiency in wireless sensor networks,The 8th international conference on artificial intelligence and its future prospects in electrical, computer, mechanical and telecommunication engineering sciences,Mashhad
ارائهشده در
مجموعه مقالات هشتمین کنفرانس بین المللی هوش مصنوعی و چشم انداز آینده آن در علوم مهندسی برق ، کامپیوتر ، مکانیک و مخابرات5 آذر 1404 · مشهد