… Wireless sensor network technology is an efficient arrangement of data collection and
real-time data transmission through the perception layer. However, this layer leads to limitations …

… In this work, the energy consumption of nodes, link stability, and quality of data transmission
are considered in the reward function. With this reward function, the proposed routing …

… (OSI) model layer data communication network protocols of an upper higher … protocols are
message query telemetry transport (MQTT) protocol [24], advanced message queuing protocol …

… Prediction based data sensing and fusion approach are used to minimize the data transmission
and maintain record of the sensor node's coverage. GM-KRLS uses the feature of Grey …

… In this section, we discuss various challenges in Wireless Sensor Networks that are handled
by machine learning techniques. We have classified WSN challenges into 3 types. These …

… This work proffered deep learning-centered malicious node detection and also clustering-based
energy-efficient DT in WSN aimed at overcoming these problems prevalent in WSN. The …

… consumption in wireless sensor networks, this review focus on clustering methods based
on … In single-hop data transfer, CHs transfer the obtained data directly to the BS, whereas in …

… of data. So, the computation complexity is low which is one of the requirements in Wireless
Sensor Network. The … Secure data transmission within the limited resource in WSN is a great …

… In this study, the authors delve into the world of wireless sensor networks (WSNs) and
explore the potential of machine learning-driven data fusion alongside virtual replicas. This …

… This poses additional requirements on the efficiency of data transfer to avoid the
transmission and storage of massive amounts of data that may never be utilized over network …