Review—Machine Learning Techniques in Wireless Sensor Network Based Precision Agriculture
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… entities (ie users of the application, sensor nodes, and GWN of the service … for wireless
sensor networks (AAA-WSN scheme) to provide a set of attractive security services for the big data …

… as well because it has a demonstrated benefit in several commercial networks [5,6]. A wireless
sensor network (WSN) typically uses a base station and multiple sensor nodes. Due to its …

… -end latency for network services, thus being one of the key enablers for beyond 5G (B5G)
IoT … Recently, the wireless sensing and the communication layer tend to converge into a novel …

… systems are not applicable; for example, aerial platforms and wireless sensor networks
have been studied [136] with sensing elements in challenging environmental structures [137,138]…

… identification (RFID) and wireless sensors networks (WSNs) are … sensors. This involves
challenges, for example, in transforming RFID systems with identification capabilities into sensing …

… network. This integration of SWIPT with CoR can be drastically important for large scale wireless
sensor network … CoR systems, for 5G and B5G networks. Table 1 provides a comparison …

… techniques for 5G/B5G Wireless Sensor Networks (WSNs) … WSN localization errors in complex
network environments, like … ) effectively overcome obstacles in indoor networks. EKF is a …

… The flat networking model is used with a very big number of sensors, which forbids the use
of a global identification system. As in the case of Data-centric routing, flat routing protocols …

… —Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing(monitoring) and gathering of raw sensor … Toral-Cruz, “Big data …