Surrogate-assisted hybrid meta-heuristic algorithm with an add-point strategy for a wireless sensor network
Meta-heuristic algorithms are widely used in complex problems that cannot be solved by
traditional computing methods due to their powerful optimization capabilities. However, for …
traditional computing methods due to their powerful optimization capabilities. However, for …
A convolution location method for multi-node scheduling in wireless sensor networks
P Han, J Shang, JS Pan - Electronics, 2022 - mdpi.com
The localization of continuous objects and the scheduling of resources are challenging
issues in wireless sensor networks (WSNs). Due to the irregular shape of the continuous …
issues in wireless sensor networks (WSNs). Due to the irregular shape of the continuous …
Binary Tumbleweed Algorithm for Application of Feature Selection
The tumbleweed algorithm (TA) is a new swarm intelligence optimization algorithm based
on tumbleweed seedling growth and seed propagation. In this paper, a binary tumbleweed …
on tumbleweed seedling growth and seed propagation. In this paper, a binary tumbleweed …
[PDF][PDF] Dynamic power management model for a wireless sensor node
R Kallimani, S Iyer - Proc Eng Technol Innov, 2022 - researchgate.net
Dynamic power management (DPM) is an efficient technique to design low-power and
energy-efficient nodes for wireless sensor networks. This article demonstrates the stochastic …
energy-efficient nodes for wireless sensor networks. This article demonstrates the stochastic …
TDOA Location Based on Pigeon-Inspired Optimization Algorithm in WSNs
The pigeon-inspired optimization (PIO) algorithm belongs to a novel type of meta-heuristic
algorithm, which has manifested in many aspects. Wireless sensor networks (WSNs) are a …
algorithm, which has manifested in many aspects. Wireless sensor networks (WSNs) are a …