Review—Machine Learning Techniques in Wireless Sensor Network Based Precision Agriculture
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… 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 …

… for big-sized networks. This perfectly matches with the algorithm presented in this paper,
where the compression of the networked data results to be convenient only for big networks as …

… in a large-scale wireless sensor network. Data gathering sensor network finds a variety of …
It is expected that the number of sensor nodes deployed could be on the order of hundreds …

… wireless sensor networks measure scalar physical phenomena, such as temperature, pressure,
humidity, or location of objects. In general, sensor networks … car traffic in big cities or on …

… wireless sensor networks that concerning the energy consumption. The model mixes the
so-called relay nodes into the network … big data analysis, intelligent transportation, and wireless …