Wireless sensor networks (WSNs) monitor dynamic environments that change rapidly over
time. This dynamic behavior is either caused by external factors or initiated by the system …

Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …

Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …

Wireless Sensor Networks (WSNs) are used to collect data from and make inferences about
the environments or objects that they are sensing. These sensors are usually characterized …

Artificial intelligence (AI) and machine learning (ML) techniques have huge potential to
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …

One of the main characteristics of Wireless Sensor Networks (WSNs) is the constrained
energy resources of their wireless sensor nodes. Although this issue has been addressed in …

Recently, data management and processing for wireless sensor networks (WSNs) has
become a topic of active research in several fields of computer science, such as the …

Within this Paper, a concept of machine learning strategies suggested. In this investigation
to address the design issues in WSNs is introduced. As can be viewed within this paper …

Wireless sensor networks (WSNs) are networks of distributed autonomous devices that can
sense or monitor physical or environmental conditions cooperatively. WSNs face many …

Wireless sensor networks (WSNs) utilize fast, cheap, and effective applications to imitate the
human intelligence capability of sensing on a wider distributed scale. But acquiring data …