The coverage improvement of the wireless sensor network based on the parameters optimized Honey Badger Algorithm
Y Luo, Y Hu - IEEE Access, 2023 - ieeexplore.ieee.org
In this study, we presented a Parameters-Optimized HBA (POHBA) to enhance the
optimization performance of the HBA. The POHBA improves the network coverage rate of …
optimization performance of the HBA. The POHBA improves the network coverage rate of …
Solving Coverage Problem by Self-organizing Wireless Sensor Networks: (,h)-Learning Automata Collective Behavior Approach
F Seredyński, M Szaban, J Skaruz, P Świtalski… - International Conference …, 2024 - Springer
We propose a novel multi-agent system approach to solve a coverage problem in Wireless
Sensor Networks (WSN) based on the collective behavior of (ϵ, h)-Learning Automata (LAs) …
Sensor Networks (WSN) based on the collective behavior of (ϵ, h)-Learning Automata (LAs) …
Pattern Formation by Collective Behavior of Competing Cellular Automata-Based Agents
M Szaban, M Seredyński, R Hoffmann… - … Conference on Cellular …, 2024 - Springer
We propose a novel game-theoretic multi-agent system approach to create a desired 2D
pattern. We interpret a pattern formation problem as a variant of the iterated Spatial …
pattern. We interpret a pattern formation problem as a variant of the iterated Spatial …
Optimal Drone Nodes Deployment to Maximize Coverage and Energy in WSNs Using Genetic Algorithms
HA Khudhair - Journal of Al-Qadisiyah for Computer Science and …, 2024 - jqcsm.qu.edu.iq
Increasing coverage and reducing the energy consumed in wireless sensor networks is an
interesting field for researchers since the discovery of wireless sensor networks and it is an …
interesting field for researchers since the discovery of wireless sensor networks and it is an …
of Competing Cellular Automata-Based
M Szaban, M Seredyński¹… - Cellular Automata: 16th …, 2024 - books.google.com
We propose a novel game-theoretic multi-agent system approach to create a desired 2D
pattern. We interpret a pattern forma-tion problem as a variant of the iterated Spatial …
pattern. We interpret a pattern forma-tion problem as a variant of the iterated Spatial …
[PDF][PDF] 基于 CoMOPSO 的传感器优化部署方法
张玉翔， 郭兰图， 刘玉超 - Journal of terahertz science and …, 2024 - researching.cn
传感器优化部署问题是一个涉及传感器覆盖效果, 用频冲突概率以及资源利用的多目标优化问题
. 现有的传感器优化部署方法大多采用加权方式, 将多个优化目标转换为单目标进行求解 …
. 现有的传感器优化部署方法大多采用加权方式, 将多个优化目标转换为单目标进行求解 …