Abstract
From wearable’s to wise home piece of equipment, the IoT is creating on a fast speed. The obstacle is to locate the very finest suitable option within a variety of various modern technologies that every might be proper at the primary blush to recognize a details ingrained gadget. A solitary device for gauging power usage of numerous cordless innovations as well as reduced power settings aids to maximize the advancement procedure of contemporary IoT systems. In this paper, we provide a precise however still economical dimension remedy for tracking the extremely vibrant power intake of cordless ingrained systems. We prolonged the standard dimension of a solitary push resistor’s electrical energy visit utilizing a twin push resistor phase by an automated swap over in among 2 phases, which brings about a huge vibrant dimension variety from μA as much as numerous hundreds mA. To show the functionality of our user-friendly power dimension system various usage instances exist. Utilizing 2 independent existing dimension networks enables to examine the timing connection of exclusive RF interaction. In addition, a projection is offered on the anticipated battery life time of a Wi-Fi based information procurement system.
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Ramesh, G.P., Kumar, N.M.: Design of RZF antenna for ECG monitoring using IoT. Multimedia Tools Appl. 1–6 (2019)
Lim, R., Ferrari, F., Zimmerling, M., Walser, C., Sommer, P., Beutel, J.: Flocklab: a testbed for distributed, synchronized tracing and profiling of wireless embedded systems. In: Proceedings of the 12th International Conference on Information Processing in Sensor Networks, pp. 153–166 (2013)
Zhou, R., Xing, G.: Nemo: a high-fidelity noninvasive power meter system for wireless sensor networks. In: 2013 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), pp. 141–152
Jiang, X., Dutta, P., Culler, D,, Stoica, I.: Micro power meter for energy monitoring of wireless sensor networks at scale. In: 2007 6th International Symposium on Information Processing in Sensor Networks, pp. 186–195 (2007)
Milenkovic, A., Milenkovic, M., Jovanov, E., Hite, D., Raskovic, D.: An environment for runtime power monitoring of wireless sensor network platforms. In: Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, SSST’05, pp. 406–410 (2005)
Andersen, J., Hansen, M.T.: Energy bucket: A tool for power profiling and debugging of sensor nodes. In: 2009 Third International Conference on Sensor Technologies and Applications, pp. 132–138 (2009)
Dutta, P., Feldmeier, M., Paradiso, J., Culler, D.: Energy metering for free: augmenting switching regulators for real-time monitoring. In: Proceedings of the 7th International Conference on Information Processing in Sensor Networks, pp. 283–294 (2008)
Villaverde, J., Bouvier, D.A., Fernández, C., Steinfeld, L., Oreggioni, J.: Low-power self-energy meter for wireless sensors network. DCoSS 315–317 (2003)
Ramesh, G.P., Soysa, N.: A Body Area Network through Wireless Technology (2014). arXiv:1409.1981
Hartung, R., Kulau, U., Wolf, L.: Distributed energy measurement in WSNs for outdoor applications. In: 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), pp. 1–9 (2016)
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Hussain, S.M.A., Satya Narayana, T., Subramanyachari (2020). Intend and Accomplishment of Power Utilization Monitoring and Controlling System by Using IoT. In: Balas, V., Kumar, R., Srivastava, R. (eds) Recent Trends and Advances in Artificial Intelligence and Internet of Things. Intelligent Systems Reference Library, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-030-32644-9_17
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DOI: https://doi.org/10.1007/978-3-030-32644-9_17
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