Localization of ground transmitters using unmanned aerial vehicles (UAVs) is a research
field teeming with activity. While most experimental UAV-based localization systems in the …

Wireless Sensor Networks (WSNs) contain several small, autonomous sensor nodes (SNs)
able to process, transfer, and wirelessly sense data. These networks find applications in …

The Tasmanian Devil Optimization (TDO) algorithm, a recently popular metaheuristic
algorithm, exhibits issues such as slow convergence, low precision, and susceptibility to …

Identifying the location of the sensor nodes is a challenging aspect of Wireless Sensor
Networks (WSNs) in a distributed environment. It is vital to understand where data and …

This work addresses the node localization issue in Wireless Sensor Networks (WSNs) by
employing swarm-based algorithms and a range-free methodology. Determining the sensor …

Sensor nodes must be located to accurately send and receive information in Wireless
Sensor Networks (WSNs), This study suggests the quantized salp swarm algorithm (QSSA) …

Employing mobile nodes or Sensor Nodes (SN) in the Wireless Sensor Networks (WSNs) is
a critical task within the coverage area. However, these techniques produce huge errors in …