Experimental results show that the multi-stage min-max krill herd(MKH) proposed in this paper has higher localization accuracy and localization stability under ...
In range-free algorithms, blind sensor nodes are found using neighbor relationships and connectivity information between nodes, such as Centroid, ...
Experimental results show that the multi-stage min-max krill herd(MKH) proposed in this paper has higher localization accuracy and localization stability under ...
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What is the krill herd algorithm?
What is localization problem in WSN?
A meta-heuristic algorithm known as Krill Herd (KH) inspired by the behavior of krills is adopted to find the location of nonanchor nodes by using mobile ...
The results demonstrate the outperformance of KH-based localization algorithm with minimum error rate when compared with particle swarm optimization algorithm ...
Multi-stage Low Error Localization Based on Krill Herd Optimization Algorithm in WSNs. C Huang, M Wang. 2022 IEEE International Conferences on Internet of ...
Hybridised swarm intelligence approach for multi-objective-based ...
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1. Node localisation is the most important factor while designing the WSN. The node localisation is also called as node positioning (Liu et al. 2022).
Localization of Nodes in WSN using Krill Herd Algorithm with Ant Colony Optimization. Fig. 6. The effect of radio range on localization error. then the ...
Aug 28, 2023 · The proposed work involves randomly placing sensor nodes over a 100 m × 100 m region. The outcomes of the proposed algorithm are described in this section.
Missing: Localization | Show results with:Localization
This paper proposes a new localization algorithm CAFOA-DV-Hop. It can efficiently reduce the localization error. And a new adaptive step size adjustment ...