This study provides an in-depth review and analysis of the nature-inspired Sand Cat Swarm
Optimization (SCSO) algorithm. The SCSO algorithm effectively focuses on exploring …

The increasing demand for wireless sensor networks to monitor specific regions has
prompted extensive research on sustaining coverage over time. The main threat to this goal …

In reinforcement learning applications, achieving a balance between exploration and
exploitation is a crucial problem during the learning process. This study proposes an entropy …

In response to the issues of local optima entrapment, slow convergence, and low
optimization accuracy in Butterfly optimization algorithm (BOA), this paper proposes a hybrid …

In the context of wireless sensor networks (WSNs), the study focuses on addressing
coverage holes, representing areas where sensor nodes lack sufficient coverage due to …

The aim of this research is to devise and assess a holistic approach for optimizing the
performance of the Internet of Things Sensor Network (IoTSN), thereby enabling it to better …

Abstract In Wireless Sensor Network (WSN), the geographical location of the sensor nodes
is determined with localization techniques. The conflict between anchor node location …

A wireless sensor network (WSN) is a kind of multi-hop network that is widely used for
monitoring and surveillance purposes. The sensors are deployed over a large area and the …

Dans ce mémoire de fin d'études, nous avons présenté une classification des types de
couvertures, en nous concentrant particulièrement sur la couverture des cibles. Notre étude …

Wireless Sensor Networks (WSNs) in critical applications demand safe routing methods to
increase network life and protect data flow. This study proposes a" Secure Power Aware …