Intelligent Load Balancing Algorithms for Internet of Things - A Review.

Safia Gul, B. A. Malik, M. T. Banday
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Abstract

The Internet of Things has witnessed an upsurge in the number of sensors communicating with each other over the Internet, and this number, currently in billions, is increasing at an expeditious pace. However, this augmentation in the number of interlaced devices can lead to profusion and jamming of the network, thereby degrading energy, latency, and throughput. Load balancing of the network is one of the techniques which could alleviate this issue. This paper reviews the methods that have been employed for load balancing of the Internet of Things, thereby serving the research community two-fold. Firstly, it gives a comprehensive introduction to the classification of load bal-ancing algorithms. Secondly, it offers researchers the prospect of developing intelligent novel algo-rithms catering to the load balancing predicament.
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物联网智能负载均衡算法综述
物联网见证了通过互联网相互通信的传感器数量的激增,这个数字目前以数十亿计,正在迅速增长。然而,交错设备数量的增加可能导致网络的密集和干扰,从而降低能量、延迟和吞吐量。网络负载均衡是缓解这一问题的技术之一。本文回顾了物联网负载平衡的方法,从而为研究界提供了双重服务。首先,对负载均衡算法的分类进行了全面的介绍。其次,它为研究人员提供了开发适应负载平衡困境的智能新算法的前景。
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来源期刊
International Journal of Sensors, Wireless Communications and Control
International Journal of Sensors, Wireless Communications and Control Engineering-Electrical and Electronic Engineering
CiteScore
2.20
自引率
0.00%
发文量
53
期刊介绍: International Journal of Sensors, Wireless Communications and Control publishes timely research articles, full-length/ mini reviews and communications on these three strongly related areas, with emphasis on networked control systems whose sensors are interconnected via wireless communication networks. The emergence of high speed wireless network technologies allows a cluster of devices to be linked together economically to form a distributed system. Wireless communication is playing an increasingly important role in such distributed systems. Transmitting sensor measurements and control commands over wireless links allows rapid deployment, flexible installation, fully mobile operation and prevents the cable wear and tear problem in industrial automation, healthcare and environmental assessment. Wireless networked systems has raised and continues to raise fundamental challenges in the fields of science, engineering and industrial applications, hence, more new modelling techniques, problem formulations and solutions are required.
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