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Design energy efficient fog server placement architecture for smart cities using MILP model

Rasidi, Norasida Farahizzaty (2021) Design energy efficient fog server placement architecture for smart cities using MILP model. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Smart city based on Internet of Things (IoT) brings a lot of benefits to the users. Daily tasks can be done easily with the presence of the IoT devices such as smartphones, laptops, and tablets. However, all these IoT devices requires a high processing which leads to energy consumption issues. To overcome this issue, an optimization works is proposed. This optimization work will result in reduction of energy consumption at the fog servers and network equipment. Energy efficiency plays one of important role in determining the performance of IoT systems. This work develops a smart city fog architecture where the size of the considered city is 277 km2. The tourist spots in Bandaraya Melaka, Malaysia will be considered as the candidate location to place the fog servers. This project is a simulation-based work where all the optimization was done in A Mathematical Programming Language (AMPL) software with CPLEX solver. The optimization using Mixed-Integer Linear Programming (MILP) model is used to determine the optimal number and locations of fog servers in a city to process the data received from Internet of Things (IoT) devices. Furthermore, an evaluation on the total energy consumption considering a different processing capacity and power consumption is conducted. This study reveals that the total energy saving of 58.6%, 77.2%, and 78.9% are achieved by implementing the optimization approach when using Fog Server A, B, and C respectively.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Fog server, MILP model, IoT, Smart city
Divisions: Library > Final Year Project > FTKEE
Depositing User: Mr Eiisaa Ahyead
Date Deposited: 17 May 2024 02:07
Last Modified: 17 May 2024 02:07
URI: http://digitalcollection.utem.edu.my/id/eprint/27846

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