DewGame: D2D communication enabled dew computing for 5G IoT using coalition formation game

Device-to-device (D2D) communication technology of 5G has brought significant advantages for short distance communication in wireless networks. Dew computing speeds up computing services across devices and allows data output to be generated very quickly. In this article, we have proposed an architecture based on dew computing and D2D communication technology with coalition formation game. In the proposed scheme, devices exchange data directly between themselves and each device computes data according to its capabilities and transfers that result to destination nodes. The devices are cooperatively connected to each other through D2D communication. Each device has a certain amount of dew computing storage, which increases depending on the amount of data in Internet of Things (IoT) devices. If the amount of data is low, then the amount of dew storage is less and when the amount of data increases, the amount of dew storage increases equally. So, there is no difficulty in computing any data. The proposed DewGame network has reduced delay and power consumption by about ∼\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sim$$\end{document} 28–66% and ∼\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sim$$\end{document} 12–70%, respectively, from other networks. In addition, the DewGame network has increased signal-to-interference-plus-noise ratio (SINR) and spectral efficiency by about ∼\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sim$$\end{document} 2–10% and ∼\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sim$$\end{document} 4–12%, respectively, from other networks, proving that the proposed DewGame network is suitable for the IoT environment.