Effect of fitness function on localization performance in range-free localization algorithm
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...
Autori principali: | Han, Fengrong, Izzeldin Ibrahim, Mohamed Abdelaziz, Kamarul Hawari, Ghazali, Zhao, Yue |
---|---|
Natura: | Articolo |
Lingua: | English English |
Pubblicazione: |
Springer US
2024
|
Soggetti: | |
Accesso online: | http://umpir.ump.edu.my/id/eprint/42167/1/Effect%20of%20fitness%20function%20on%20localization%20performance_ABST.pdf http://umpir.ump.edu.my/id/eprint/42167/2/Effect%20of%20fitness%20function%20on%20localization%20performance%20in%20range-free%20localization%20algorithm.pdf |
Documenti analoghi
-
A hybrid range-free algorithm using dynamic communication range for wireless sensor networks
di: Fengrong, Han, et al.
Pubblicazione: (2020) -
Optimized range-free localization scheme using autonomous groups particles swarm optimization for anisotropic wireless sensor networks
di: Han, Fengrong, et al.
Pubblicazione: (2023) -
A survey on DV-Hop localization techniques in Three-dimensional wireless sensor networks
di: Fengrong, Han, et al.
Pubblicazione: (2020) -
An enhanced distance vector-hop algorithm using new weighted location method for wireless sensor networks
di: Han, Fengrong, et al.
Pubblicazione: (2020) -
Review of CNN in aerial image processing
di: Liu, Xinni, et al.
Pubblicazione: (2023)