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<p>Internet of Things (IoT) and 6G wireless networks are invaluable components of the future. Along with this, the use of dew computing and edge computing is notable. Dew is a small computing storage that connects with the IoT devices and performs small tasks. In EvolIoT, an IoT network based on evolutionary game is proposed. The population of the evolutionary game refers to the IoT devices located within a cluster. Two utility functions are proposed in this article. The first utility function is used to create clusters among IoT devices, and it is calculated based on the distance between IoT devices within a cluster. The second utility function is used to identify the leader IoT device from within the cluster based on the minimum average adjacent distance. This allows the best population to be identified. Here, communication between IoT devices and edge devices is done through 6G wireless communication. IoT-connected dew devices located within the cluster perform tasks by exchanging tasks among themselves. If the task volume is high, then the task is completed by the edge devices located in the next layer. In other cases, if the volume of the task is so high and there is a need to store data, then cloud computing is used. This article calculates the delay and power consumption of the proposed network EvolIoT and compares it with existing networks. The proposed network has reduced <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11235_2025_1325_Article_IEq1.gif" Format="GIF" Height="6" Rendition="HTML" Resolution="72" Type="Linedraw" Width="17" /> </InlineMediaObject> <EquationSource Format="TEX">\(\sim \)</EquationSource> <EquationSource Format="MATHML"><math> <mo>∼</mo> </math></EquationSource> </InlineEquation> 15-61% total delay and <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11235_2025_1325_Article_IEq1.gif" Format="GIF" Height="6" Rendition="HTML" Resolution="72" Type="Linedraw" Width="17" /> </InlineMediaObject> <EquationSource Format="TEX">\(\sim \)</EquationSource> <EquationSource Format="MATHML"><math> <mo>∼</mo> </math></EquationSource> </InlineEquation> 16-66% total power consumption over the existing networks.</p>

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EvolIoT: Evolutionary Game based Dew Computing for IoT in 6G Environment

  • 期刊论文

  • 发表日期：

    2025年7月1日

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  • Subha Ghosh,
  • Debashis De

摘要

Internet of Things (IoT) and 6G wireless networks are invaluable components of the future. Along with this, the use of dew computing and edge computing is notable. Dew is a small computing storage that connects with the IoT devices and performs small tasks. In EvolIoT, an IoT network based on evolutionary game is proposed. The population of the evolutionary game refers to the IoT devices located within a cluster. Two utility functions are proposed in this article. The first utility function is used to create clusters among IoT devices, and it is calculated based on the distance between IoT devices within a cluster. The second utility function is used to identify the leader IoT device from within the cluster based on the minimum average adjacent distance. This allows the best population to be identified. Here, communication between IoT devices and edge devices is done through 6G wireless communication. IoT-connected dew devices located within the cluster perform tasks by exchanging tasks among themselves. If the task volume is high, then the task is completed by the edge devices located in the next layer. In other cases, if the volume of the task is so high and there is a need to store data, then cloud computing is used. This article calculates the delay and power consumption of the proposed network EvolIoT and compares it with existing networks. The proposed network has reduced \(\sim \) ∼ 15-61% total delay and \(\sim \) ∼ 16-66% total power consumption over the existing networks.