Using the Artificial Bee Colony (ABC) Algorithm in Collaboration with the Fog Nodes in the Internet of Things Three-layer Architecture

Shakoor Vakilian, Seyed Vahid Moravvej, A. Fanian
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引用次数: 23

Abstract

Today, with the increase of objects and physical devices connected to the Internet and the creation of an intelligent environment, a new paradigm as the Internet of Things (IoT), has been introduced. In this paradigm, fog computing is used as an essential capability to increase IoT processing power. Due to the expansion of these nodes from the edge of the network to the cloud, and their ability to process data near objects, the service time for objects and physical devices can be reduced. In addition, the collaboration between fog nodes can lead to the use of idle resources and further reduce response time. On the other hand, this collaboration could lead to an increase in energy costs in all fog nodes. Therefore, in this paper, an optimization problem is introduced with the aim of the collaboration in fog nodes along with the cloud to make the balance between the average response time and energy cost. Then, the proposed problem is solved using the artificial bee colony optimization algorithm. The evaluation results show that the proposed solution has been able to significant effects on reducing the response time and energy cost and obtain the optimal value.
基于人工蜂群(ABC)算法与雾节点协同的物联网三层架构
今天,随着连接到互联网的对象和物理设备的增加以及智能环境的创建,引入了物联网(IoT)的新范式。在这种范例中,雾计算被用作提高物联网处理能力的基本功能。由于这些节点从网络边缘扩展到云端,并且它们能够处理靠近对象的数据,因此可以减少对象和物理设备的服务时间。此外,雾节点之间的协作可以导致空闲资源的使用,进一步减少响应时间。另一方面,这种合作可能导致所有雾节点的能源成本增加。因此,本文引入了一个优化问题,旨在使雾节点与云协同,在平均响应时间和能量成本之间取得平衡。然后,利用人工蜂群优化算法对所提出的问题进行求解。评价结果表明,该方案在减少响应时间和能量成本方面具有显著效果,并获得了最优值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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