An Efficient Resource Allocation Approach Based on a Genetic Algorithm for Composite Services in IoT Environments

2015 ◽  
Author(s):  
Minhyeop Kim ◽  
In-Young Ko
Keyword(s):  
Genetic Algorithm ◽  
Resource Allocation ◽  
Efficient Resource ◽  
Composite Services ◽  
Allocation Approach

A Novel Spectral-Efficient Resource Allocation Approach for NOMA-Based Full-Duplex Systems

2019 ◽  
Author(s):  
Hieu V. Nguyen ◽  
Van-Dinh Nguyen ◽  
Octavia A. Dobre ◽  
Diep N. Nguyen ◽  
Eryk Dutkiewicz ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Full Duplex ◽  
Efficient Resource ◽  
Duplex Systems ◽  
Allocation Approach

scholarly journals Resource Allocation Strategy for D2D-Assisted Edge Computing System Using Weighted Genetic and Ant Colony Optimization Algorithms

2021 ◽  
Author(s):  
Devireddy Pranav Krishna Teja ◽  
Kuppachi Nikhileswar ◽  
Adusumili Lalith Peri Abhiram Peri Abhiram ◽  
Nandakumar S
Keyword(s):  
Genetic Algorithm ◽  
Resource Allocation ◽  
Energy Efficiency ◽  
Particle Swarm Optimization ◽  
Ant Colony Optimization ◽  
Particle Swarm ◽  
Base Station ◽  
Ant Colony ◽  
Swarm Optimization ◽  
Allocation Approach

Abstract Due to the constrained battery ability and computing functionality of cellularcustomers, the Resource allocation approach in D2D-assisted edge computingsystem with hybrid electricityharvesting is investigated on thisdocument.By using magnetic induction-primarily based on wireless reverse charging technology, cellular consumer can complement more electricity from nearby users whilst the electricity gathered from the surrounding radio frequency is set to be exhausted. Due to the constrained computing resource of MEC server the MEC server reaches the limit of its computing capability the adjacent Base station’s user can act as a relay node and by setting up the D2D relay links the computing responsibilities of the users which are left under previous base station can now be transferred to new base station’s MEC server which has enough resources. The goal of the resource allocation approach is to improvise the energy efficiency under computation delayconstraint and energy harvestingconstraints.An optimal answer is produced by adopting the Quantum behaved Particle Swarm Optimization (QPSO) algorithm, weighted genetic algorithm (WGA/GA) and Ant-colony optimization (ACO) algorithm, Simulation outcomes display that overall performance of theapproach that is proposed is superior than different benchmark strategies, and weighted genetic algorithm (WGA), Ant-colony optimization (ACO) algorithmcan attain better energy efficiency than the quantum behaved particle swarm optimization and standard particle swarm optimization algorithm also Simulation studiesshows that the self-learning nature of these methods(i.e WGA and ACO) gives better results even for higher complexity problems.

scholarly journals Axiomatic and Dynamic Processes for a Symmetric Allocation Rule

Symmetry ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1474
Author(s):  
Chia-Hung Li ◽  
Jo-Wei Chiang ◽  
En-Cheng Chi ◽  
Yu-Hsien Liao
Keyword(s):  
Resource Allocation ◽  
Allocation Rule ◽  
Dynamic Processes ◽  
Theoretical Methods ◽  
Allocation Rules ◽  
Reactive Behavior ◽  
Rules Of Thumb ◽  
Efficient Resource ◽  
Mathematical Accuracy ◽  
Allocation Approach

It has recently become imperative to analyze relevant issues to improve the efficiency of resource allocation by means of different perspectives and ways of thinking. There exist numerous decisive factors, such as changes in forms of allocation, reactive behavior, and the interaction and functional effectiveness of strategies, that need to be complied. In contrast to expert meetings, rules of thumb, or other existing concepts, this article aims to offer a different and efficient resource allocation approach by applying game-theoretical methods to resource-allocation situations. Our major investigative procedures are as follows: (1) after comparing our method with pre-existing allocation rules from pre-existing allocation rules, a symmetric allocation rule is proposed that considers both units and their energy grades; (2) based on the properties of grade completeness, criterion for models, unmixed equality symmetry, grade synchronization, and consistency, some axiomatic outcomes are used to examine the mathematical accuracy and the applied rationality of this symmetric allocation rule; (3) based on a symmetrical revising function, a dynamic process is applied to show that this symmetric allocation rule can be reached by units that start from an arbitrary grade completeness situation; and (4) these axiomatic and dynamic results and related meanings are applied to show that this symmetric allocation rule can present an optimal alternative guide for resource-allocation processes. Related applications, comparisons, and statements are also offered throughout this article.

Sign in / Sign up

Export Citation Format

Share Document