Effect of fitness function on localization performance in range-free localization algorithm

Han, Fengrong and Izzeldin Ibrahim, Mohamed Abdelaziz and Kamarul Hawari, Ghazali and Zhao, Yue (2024) Effect of fitness function on localization performance in range-free localization algorithm. Multimedia Tools and Applications, 83 (4). 9761 -9784. ISSN 1380-7501(print); 1573-7721(online). (Published)

Preview	Pdf Effect of fitness function on localization performance_ABST.pdf Download (296kB) | Preview
	Pdf Effect of fitness function on localization performance in range-free localization algorithm.pdf Restricted to Repository staff only Download (3MB) | Request a copy

Abstract

The problem of solving the nonlinear equations in the range-free localization algorithm has been transformed into an optimal solution problem. Meta-heuristic optimization method has been widely adopted to tackle above issues. How to choose the best localization fitness function for a specific target is a key factor in determining whether the localization algorithm is accurate or not. However, so far there is no literature to investigate the effect of fitness function on rang-free localization algorithm. Firstly, this study comprehensively reviews and classifies the frequently-used localization fitness function in range-free localization scheme. Next, multiple experiments are carried out for each typical localization fitness function. The experimental results are analyzed in terms of accuracy and stability. Besides, the advantage and disadvantage of each localization fitness function are also given. Finally, an advanced localization fitness function is proposed based on the above experimental results, which will provide a guide and reference for selection and improvement of the fitness function in range-free localization algorithm.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	DV-Hop Localization algorithm; Fitness function; Metaheuristic optimization algorithm; Particle Swarm Optimization (PSO); Wireless sensor network (WSNs)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	05 Aug 2024 06:45
Last Modified:	05 Aug 2024 06:45
URI:	http://umpir.ump.edu.my/id/eprint/42167
Download Statistic:	View Download Statistics

Actions (login required)

View Item