Definition
A Wireless Sensor Network (WSN) consists of spatially distributed autonomous devices using sensors to monitor physical or environmental conditions. A WSN system incorporates a gateway that provides wireless connectivity back to the wired world and distributed nodes. Machine learning (ML) is the science of getting computers to learn and act like humans do and improve their learning over time in autonomous fashion, by feeding those data and information in the form of observations and real-world interactions.
Introduction
Wireless Sensor Networks (WSN) is a vital component in Internet of Things (IoT). The small sized, low powered sensors are capable of monitoring and collecting data from environment. Most of the recent research works have not concentrated to provide a solution for analyzing the potentially huge amount of data generated by these sensor nodes. Thus, there is a need for...
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Vijayakumar, V. (2019). Application of Machine Learning in Wireless Sensor Network. In: Shen, X., Lin, X., Zhang, K. (eds) Encyclopedia of Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-32903-1_282-1
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DOI: https://doi.org/10.1007/978-3-319-32903-1_282-1
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