Enhancing Energy Consumption in Wireless Communication Systems using Weighted Sum Approach

Achki, Samira; Gharnati, Fatima; Ouahman, Abdellah Ait

doi:10.17485/ijst/2017/v10i4/110903

Cited by 4 publications

(2 citation statements)

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“…BWM is a multicriteria tool, that is widely used for resolving decision problems [14][15][16]. It is a strong method which is exploited for making the right decision for several fields like the supplier selection problems.…”

Section: The First Stage: Bwmmentioning

confidence: 99%

COVID-19 Patient Classification Strategy Using a Hybrid BWM-SVM Model

Achki

Aziz

2021

Innovations in Smart Cities Applications Volume 4

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The apparition of Covid19 represents a horrible disease that upset the human's life. The difficulty of this disease is its rapid evolution through people contact. Hence, designing an efficient classifier model is mandatory. In this work, we present an effective hybrid multicriteria model for patients' classification. Our approach is composed of two-stage: the first one consists of generating the criteria priorities using the multi-criteria Best Worst Method (BWM) tool used to estimate a set of alternatives concerning a data set of decision criteria, while the second is based on making the patient classification using the Support Vector Machines (SVM), are controlled learning models with related learning algorithms that analyze data used for classification. This combination proposed to classify the patient's diagnostic as infected by COVID or not. In this study, we considered these criteria: fever, cough, fatigue, shortness of breath in severe cases, and the age of the patient), Predicting the right classification rapidly will reduce the number of affected people.

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Section: The First Stage: Bwmmentioning

confidence: 99%

COVID-19 Patient Classification Strategy Using a Hybrid BWM-SVM Model

Achki

Aziz

2021

Innovations in Smart Cities Applications Volume 4

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“…Picocells and femtocells named small cells are densely populated and distributed in the geographic area of the macro cell. ese small cells [1] use less power as they present end users are nearer to network access points. at way, one of the key objects for HetNet is to improve energyefficient and reduce the mitigation interference of small cells.…”

Section: Introductionmentioning

confidence: 99%

User Association Strategy for Energy Efficiency and Interference Mitigation of Heterogeneous Networks

Achki

Aziz

Gharnati

et al. 2020

Advances in Materials Science and Engineering

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The necessity of the use of several mobile services increases every day. This requires the consumption of energy rates. Hence, minimizing the energy and interferences of mobile users are major concerns of Heterogeneous Networks (HetNet). This paper aims to improve the energy of mobile users by minimizing a weighted function. To consider significant weights values, we have exploited the multicriteria AHP method. The cost function represents the cost of users toward available BS. It includes the essential criteria influencing energy consumption. Moreover, we introduce an optimal user association based on their minimal cost values. Simulation results prove that the optimal method has saved more energy and reduced network interferences.

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