Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm

Resource allocation (RA) techniques should be made efficient and optimized in order to enhance the QoS (power & bit, capacity, scalability) of high-speed networking data applications. This research attempts to further increase the efficiency towards near-optimal performance. RA’s problem involve...

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Main Author:	Altrad, Abdallah Mahmoud Mousa
Format:	Thesis
Language:	eng eng eng
Published:	2018
Subjects:	T58.5-58.64 Information technology
Online Access:	https://etd.uum.edu.my/6880/1/DeporitPermission_s93730.pdf https://etd.uum.edu.my/6880/2/s93730_01.pdf https://etd.uum.edu.my/6880/3/s93730_02.pdf
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id	my-uum-etd.6880
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng eng
advisor	Sheik Osman, Wan Rozaini Amphawan, Angela
topic	T58.5-58.64 Information technology
spellingShingle	T58.5-58.64 Information technology Altrad, Abdallah Mahmoud Mousa Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm
description	Resource allocation (RA) techniques should be made efficient and optimized in order to enhance the QoS (power & bit, capacity, scalability) of high-speed networking data applications. This research attempts to further increase the efficiency towards near-optimal performance. RA’s problem involves assignment of subcarriers, power and bit amounts for each user efficiently. Several studies conducted by the Federal Communication Commission have proven that conventional RA approaches are becoming insufficient for rapid demand in networking resulted in spectrum underutilization, low capacity and convergence, also low performance of bit error rate, delay of channel feedback, weak scalability as well as computational complexity make real-time solutions intractable. Mainly due to sophisticated, restrictive constraints, multi-objectives, unfairness, channel noise, also unrealistic when assume perfect channel state is available. The main goal of this work is to develop a conceptual framework and mathematical model for resource allocation using Shuffled Frog-Leap Algorithm (SFLA). Thus, a modified SFLA is introduced and integrated in Orthogonal Frequency Division Multiplexing (OFDM) system. Then SFLA generated random population of solutions (power, bit), the fitness of each solution is calculated and improved for each subcarrier and user. The solution is numerically validated and verified by simulation-based powerline channel. The system performance was compared to similar research works in terms of the system’s capacity, scalability, allocated rate/power, and convergence. The resources allocated are constantly optimized and the capacity obtained is constantly higher as compared to Root-finding, Linear, and Hybrid evolutionary algorithms. The proposed algorithm managed to offer fastest convergence given that the number of iterations required to get to the 0.001% error of the global optimum is 75 compared to 92 in the conventional techniques. Finally, joint allocation models for selection of optima resource values are introduced; adaptive power and bit allocators in OFDM system-based Powerline and using modified SFLA-based TLBO and PSO are proposed
format	Thesis
qualification_name	Ph.D.
qualification_level	Doctorate
author	Altrad, Abdallah Mahmoud Mousa
author_facet	Altrad, Abdallah Mahmoud Mousa
author_sort	Altrad, Abdallah Mahmoud Mousa
title	Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm
title_short	Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm
title_full	Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm
title_fullStr	Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm
title_full_unstemmed	Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm
title_sort	resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2018
url	https://etd.uum.edu.my/6880/1/DeporitPermission_s93730.pdf https://etd.uum.edu.my/6880/2/s93730_01.pdf https://etd.uum.edu.my/6880/3/s93730_02.pdf
_version_	1747828121925582848
spelling	my-uum-etd.68802021-08-09T04:14:14Z Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm 2018 Altrad, Abdallah Mahmoud Mousa Sheik Osman, Wan Rozaini Amphawan, Angela Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences T58.5-58.64 Information technology Resource allocation (RA) techniques should be made efficient and optimized in order to enhance the QoS (power & bit, capacity, scalability) of high-speed networking data applications. This research attempts to further increase the efficiency towards near-optimal performance. RA’s problem involves assignment of subcarriers, power and bit amounts for each user efficiently. Several studies conducted by the Federal Communication Commission have proven that conventional RA approaches are becoming insufficient for rapid demand in networking resulted in spectrum underutilization, low capacity and convergence, also low performance of bit error rate, delay of channel feedback, weak scalability as well as computational complexity make real-time solutions intractable. Mainly due to sophisticated, restrictive constraints, multi-objectives, unfairness, channel noise, also unrealistic when assume perfect channel state is available. The main goal of this work is to develop a conceptual framework and mathematical model for resource allocation using Shuffled Frog-Leap Algorithm (SFLA). Thus, a modified SFLA is introduced and integrated in Orthogonal Frequency Division Multiplexing (OFDM) system. Then SFLA generated random population of solutions (power, bit), the fitness of each solution is calculated and improved for each subcarrier and user. The solution is numerically validated and verified by simulation-based powerline channel. The system performance was compared to similar research works in terms of the system’s capacity, scalability, allocated rate/power, and convergence. The resources allocated are constantly optimized and the capacity obtained is constantly higher as compared to Root-finding, Linear, and Hybrid evolutionary algorithms. The proposed algorithm managed to offer fastest convergence given that the number of iterations required to get to the 0.001% error of the global optimum is 75 compared to 92 in the conventional techniques. Finally, joint allocation models for selection of optima resource values are introduced; adaptive power and bit allocators in OFDM system-based Powerline and using modified SFLA-based TLBO and PSO are proposed 2018 Thesis https://etd.uum.edu.my/6880/ https://etd.uum.edu.my/6880/1/DeporitPermission_s93730.pdf text eng public https://etd.uum.edu.my/6880/2/s93730_01.pdf text eng public https://etd.uum.edu.my/6880/3/s93730_02.pdf text eng public Ph.D. doctoral Universiti Utara Malaysia [1] M. Li and H.-J. Lin, "Design and implementation of smart home control systems based on wireless sensor networks and power line communications," IEEE Transactions on Industrial Electronics, vol. 62, pp. 4430-4442, 2015. [2] C. Cano, A. Pittolo, D. Malone, L. Lampe, A. M. Tonello, and A. G. Dabak, "State of the art in power line communications: From the applications to the medium," IEEE Journal on Selected Areas in Communications, vol. 34, pp. 1935-1952, 2016. [3] H. Hrasnica, A. Haidine, and R. 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Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm

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