Recent developments in low-power communication and signal processing technologies
have led to the extensive implementation of wireless sensor networks (WSNs). In a WSN …

Machine learning (ML) technology has shown its unique advantages in many fields and has
excellent performance in many applications, such as image recognition, speech recognition …

In most cases, wireless sensor networks (WSNs) are deployed in unattended scenarios and
are featured by energy sensitivity and low cost, thus making the performance of WSNs prone …

A wireless sensor network (WSN) consists of a huge number of sensor nodes that are
inadequate in energy, storage and processing power. One of the major tasks of the sensor …

Energy savings optimization becomes one of the major concerns in the wireless sensor
network (WSN) routing protocol design, due to the fact that most sensor nodes are equipped …

The main constraint of wireless sensor networks (WSNs) is the limited and generally
irreplaceable power source of the sensor nodes. Therefore, designing energy saving routing …

Due to the promising application of collecting information from remote or inaccessible
location, wireless sensor networks pose big challenge for data routing to maximize the …

Wireless sensor networks (WSNs) are a collection of several small and inexpensive battery-
powered nodes, commonly used to monitor regions of interests and to collect data from the …

Wireless sensor networks (WSNs) form an important part of industrial application. There has
been growing interest in the potential use of WSNs in applications such as environment …

Wireless sensor networks (WSNs) are used in many applications to gather sensitive
information which is then forwarded to an analysis center. Resource limitations have to be …