An Investigation on the Impact of Machine Learning in Wireless Sensor Networks and Its Application Specific Challenges
The importance of Machine Learning (ML) in advanced system technologies are proven in literature. This chapter investigates the role of ML in Wireless Sensor Networks and the challenges specific to its applications. We discuss the background literature of
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Wireless Sensor Networks (WSN)
K. Praghash (&) K. S. Kumar R. Sekar R. R. Kumar S. A. Metha Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India e-mail: [email protected] K. S. Kumar e-mail: [email protected] R. Sekar e-mail: [email protected] R. R. Kumar e-mail: [email protected] S. A. Metha e-mail: [email protected] T. Karthikeyan Department of Electronics and Communication Engineering, Annamacharya Institute of Technology and Sciences, Rajampet, AP, India e-mail: [email protected] © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 A. Kumar and S. Mozar (eds.), ICCCE 2020, Lecture Notes in Electrical Engineering 698, https://doi.org/10.1007/978-981-15-7961-5_39
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1 Introduction The current life scenarios associate numerous environmental data collected by sensors that are dynamic and vast. These data include but not limited to geo-location, frequency, electrical fluctuations, gas composition, image data and so on. Therefore, to process these data for a desired application or outcomes needs an advanced and high-performance technique. The architecture of Wireless Sensor Network (WSN) is more efficient in gathering such data and routing it to earmarked devices or nodes. We are all aware of the components of a typical WSN such as randomly deployed sensor nodes with a base station (BS) or sink node. An important significance of WSN is bidirectional functionality that it can transport the data from any node to BS or BS to any node via proper routing techniques. The movement of WSN was supported for the most part by military applications for example war zone reconnaissance; right now this sort of systems is utilized in a few business just as purchaser applications, for example, business technique following and furthermore handle, machine well-being following, natural location and living space following. The WSN is made of hubs by a few different enough hubs which known as bits, in which each hub is associated with a solitary sensor. Each this sort of sensor arrange hub offers commonly numerous parts: a radio handset with an inward receiving wire or even connection to an external reception apparatus, a microcontroller, an electronic circuit for interfacing with the sensors and a force asset, generally a battery or a decorated sort of vitality Harvesting. A sensor hub may shift in measurements from that of a shoe box down to the size of a grain of residue, while working “bits’’ of veritable tiny measurements have anyway to be made. The cost of sensor hubs is in like manner variable, running from a few to a ton of bucks, in view of the complexity of the sensor hubs. Size and cost limitations on sensor hubs lead to related limitations on resources for example vitality, memory, computational speed, and correspondences data transfer capacity. The topology of the WSNs may shift from an essential star system to a more significan
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