Routing algorithms in internet of things complex network with the role of machine learning

Q3 Physics and Astronomy
F. Kamalov, Zahra Sayari, Mehdi Gheisari, Cheng-Chi Lee, S. Moussa
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引用次数: 0

Abstract

In recent years, the growth of internet-based technologies increased at a rapid pace. The development of technologies such as the Internet of Things (IoT) influenced the enormous increase in the use of data and internet services. IoT devices use different algorithms for facilitating connectivity between devices and control them. However, ensuring smooth connectivity using protocols across a shared medium of network resources is challenging. IoT ecosystems utilize several routing algorithms to deliver the best path/ route for network traffic to control cyber physical systems. These routing algorithms allow IoT networks to use network routes, thereby increasing network traffic mobility effectively. So, a comprehensive survey is needed, which paves the path for researchers. Specifically, this survey investigates and compares the routing solutions in the IoT environment from different perspectives than current surveys such as safety, flow control of data and other essential parameters in IoT physical and nonphysical systems.
物联网复杂网络中的路由算法与机器学习的作用
近年来,基于互联网的技术飞速发展。受物联网(IoT)等技术发展的影响,数据和互联网服务的使用量大幅增加。物联网设备使用不同的算法来促进设备之间的连接和控制。然而,在网络资源的共享介质上使用协议确保顺畅连接是一项挑战。物联网生态系统利用多种路由算法为网络流量提供最佳路径/路由,以控制网络物理系统。这些路由算法允许物联网网络使用网络路由,从而有效提高网络流量的流动性。因此,需要进行全面调查,为研究人员铺平道路。具体来说,与当前的调查相比,本调查从不同的角度调查和比较了物联网环境中的路由解决方案,如物联网物理和非物理系统中的安全性、数据流控制和其他基本参数。
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来源期刊
Cybernetics and Physics
Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
1.70
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.
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