Effect of fitness function on localization performance in range-free localization algorithm-Reference-Cited by-同舟云学术

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

Published:2023-06-26 Issue:4 Volume:83 Page:9761-9784
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Han Fengrong^ORCID,Abdelaziz Izzeldin Ibrahim Mohamed,Ghazali Kamarul Hawari,Zhao Yue

Funder

Universiti Malaysia Pahang

Natural Science Basic Research Program of Shaanxi Province

Natural Science Foundation of Shaanxi Provincial Department of Education

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16030-4.pdf

Reference49 articles.

1. Agrawal P, Abutarboush HF, Ganesh T, Mohamed AWJIA (2021) Metaheuristic algorithms on feature selection: a survey of one decade of research (2009–2019). IEEE Access 9:26766–26791. https://doi.org/10.1155/2021/925581010.1109/ACCESS.2021.3056407

2. Chai QW, Zheng JW (2021) Research article rotated black hole: a new heuristic optimization for reducing localization error of WSN in 3D terrain. Wirel Commun Mob Comput 2021:1–13. https://doi.org/10.1155/2021/9255810

3. Chen TF, Sun LJ (2019) A connectivity weighting DV_Hop localization algorithm using modified artificial bee Colony optimization. J Sens 2019:1–14. https://doi.org/10.1155/2019/1464513

4. Cui Z, Sun B, Wang G, Xue Y, Chen J, Computing D (2017) A novel oriented cuckoo search algorithm to improve DV-hop performance for cyber–physical systems. J Parallel Distrib Comput 103:42–52. https://doi.org/10.1016/j.jpdc.2016.10.011

5. Cui L, Xu C, Li G, Ming Z, Feng Y, Lu N (2018) A high accurate localization algorithm with DV-hop and differential evolution for wireless sensor network. Appl Soft Comput 68:39–52. https://doi.org/10.1016/j.asoc.2018.03.036

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