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Self-energizing Wireless Sensor Network

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Microservices in Big Data Analytics
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Abstract

The autonomous deployments using wireless sensor networks (WSNs) and their ability to self-organize play a vital role in data gathering in hostile environment or mission-critical applications. The contributions of this paper are threefold. First, the study in this paper proposes a preliminary model for peer-to-peer wireless power transfer (WPT) between sensor nodes, which is termed as self-energizing technique. Second, a fundamental design of a sensor node suitable for the self-energizing model is proposed, and third, using a clustering algorithm along with the flow mechanism to utilize the self-energizing technique is demonstrated. The study in this paper is a preliminary step toward proposing self-energizing technique between the peer sensor nodes of a deployed WSN. The paper concludes with the fact that the implications of self-energizing capabilities have the potential to enhance the fundamental deployment and design of such ad hoc networks.

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Correspondence to Aditya Singh .

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Singh, A., Nene, M.J. (2020). Self-energizing Wireless Sensor Network. In: Chaudhary, A., Choudhary, C., Gupta, M., Lal, C., Badal, T. (eds) Microservices in Big Data Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-15-0128-9_14

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  • DOI: https://doi.org/10.1007/978-981-15-0128-9_14

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  • Online ISBN: 978-981-15-0128-9

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