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All Journal International Journal of Electrical and Computer Engineering
Ahmad Mohammad Alsmadi
Al-Balqa Applied University
Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

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Fog computing scheduling algorithm for smart city Ahmad Mohammad Alsmadi; Roba Mahmoud Ali Aloglah; Nisrein Jamal sanad Abu-darwish; Ahmad Al Smadi; Muneerah Alshabanah; Daniah Alrajhi; Hanouf Alkhaldi; Mutasem K. Alsmadi
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i3.pp2219-2228

Abstract

With the advent of the number of smart devices across the globe, increasing the number of users using the Internet. The main aim of the fog computing (FC) paradigm is to connect huge number of smart objects (billions of object) that can make a bright future for smart cities. Due to the large deployments of smart devices, devices are expected to generate huge amounts of data and forward the data through the Internet. FC also refers to an edge computing framework that mitigates the issue by applying the process of knowledge discovery using a data analysis approach to the edges. Thus, the FC approaches can work together with the internet of things (IoT) world, which can build a sustainable infrastructure for smart cities. In this paper, we propose a scheduling algorithm namely the weighted round-robin (WRR) scheduling algorithm to execute the task from one fog node (FN) to another fog node to the cloud. Firstly, a fog simulator is used with the emergent concept of FC to design IoT infrastructure for smart cities. Then, spanning-tree routing (STP) protocol is used for data collection and routing. Further, 5G networks are proposed to establish fast transmission and communication between users. Finally, the performance of our proposed system is evaluated in terms of response time, latency, and amount of data used.
Co-Authors Ahmad AL Smadi Daniah Alrajhi Hanouf Alkhaldi Muneerah Alshabanah Mutasem K. Alsmadi Nisrein Jamal sanad Abu-darwish Roba Mahmoud Ali Aloglah