Abstract
The goal of this undertaking is to audit existing sustainable power source and imminent methodologies in vitality reaping procedure as methods for having an economical and low support activity of WSN (wireless sensor networks). The Internet of Things idea has been utilized to build up the undertaking. Sunlight-based vitality reapers are getting to be basic in home and structures to give considerable advantages to our atmosphere, well-being, and economy. It together with other inexhaustible sources will soon outdate the customary fossil vitality to turn into a column for economical improvement. An IoT-based system is implemented to distribute energy among the solar board. The power gathered by sunlight-based clusters, in any case, relies on different factors, for example, climate conditions, photovoltaic (PV) boards, and vitality transformation that need broad and constant examinations to boost its potential. In the primary bearing, fixed, single, and twofold pivot trackers are created to follow the course of the sun. An electromechanical framework to pursue the situation of the sun was structured. It is coordinated by a shut circle servo framework that takes estimations of direct sun-based radiation as the criticism. The control methodology is to drive two little dc engines with the goal that the sun picture is kept at the focal point of the four-quadrant photograph indicator detecting the sun position.
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References
Chavali, P., et al.: Distributed power system state estimation using factor graphs. IEEE Trans. Signal. Process. 63(11), 2864–2876 (2015)
Kayastha, N., et al.: Smart grid sensor data collection, communications, and networking: a tutorial. Wireless Comm. Mobile Comput. 14(11), 1055–1087 (2014)
Li, Y.: Fully distributed state estimation of smart grids. In: Proc. of the Int. Conf. Comm., pp. 6580–6585 (2012)
Liang, H., Abdrabou, A., et al.: Stochastic information management for voltage regulation in smart distribution systems. In: Proc. of the INFOCOM, pp. 2652–2660 (2014)
Wang, X., Liang, Q.: Stabilizing the power sin microgrid using sensor selection. In: Proc. of the Global Comm. Conf., pp. 3513–3518 (2012)
Meliopoulos, A.P., et al.: Smart grid technologies for autonomous operation and control. IEEE Trans. Smart Grid. 2(1), 1–10 (2011)
Vetrivelan, P., et al.: Chapter 13: A neural network based automatic crop monitoring robot for agriculture. In: The IoT and the Next Revolutions Automating the World, pp. 203–212. IGI Global, Hershey, PA (2019)
Weng, Y., Negi, R., Ilic, M.D.: Graphical model for state estimation in electric power systems. In: Proc. of the Int. Conf. on Smart Grid Comm., p. 108 (2013)
Kamalinejad, P., et al.: Wireless energy harvesting for the Internet of Things. IEEE Commun. Mag. 53(6), 102–108 (2015)
Adila, A.S., Husam, A., Husi, G.: Towards the self-powered Internet of Things (IoT) by energy harvesting: trends and technologies for green IoT. In: Second International Symposium on Small-Scale Intelligent Manufacturing Systems (SIMS), Cavan, pp. 1–5 (2018)
Park, H., et al.: Energy harvesting using thermoelectricity for IoT (Internet of Things) and E-skin sensors. J. Phys. Energy. 1(4), 042001 (2019)
Yogeshwaran, K., et al.: Design and Analysis of Efficient Special Modern Adder, pp. 1–77. Lambert Academic Publishing, Germany (2019)
Liang, H., et al.: Stochastic modeling & optimization in a microgrid: a survey. Energies. 7(4), 2027–2050 (2014)
Wang, Y., et al.: Decentralized communication and control systems for power system operation. IEEE Trans. Smart Grid. 6(2), 885–893 (2015)
Garg, N., Garg, R.: Energy harvesting in IoT devices: a survey. In: 2017 International Conference on Intelligent Sustainable Systems (ICISS), Palladam, pp. 127–131 (2017)
Udayakumar, E., et al.: An event based neural network architecture with content addressable memory. Int. J. Embedd. Real-Time Commun. Syst. 11(1), 23–40 (2020)
Vetrivelan, P., et al.: Design of smart surveillance security system based on wireless sensor network. Int. J. Res. Stud. Sci. Eng. Technol. 4(5), 23–26 (2017)
Kanagaraj, T., et al.: Foot pressure measurement by using ATMEGA 164 microcontroller. Adv. Nat. Appl. Sci. 10(13), 224–228 (2016)
Srihari, K., et al.: Automatic battery replacement of robot. Adv. Nat. Appl. Sci. 9(7), 33–38 (2015)
Vetrivelan, P., et al.: PAPR reduction for OQAM/OFDM signals using optimized iterative clipping and filtering technique. In: Proceedings of IEEE International Conference on Soft-Computing and Network Security (ICSNS‘15), p. 72. SNS College of Technology, Coimbatore (2015)
Santhi, S., et al.: SoS emergency ad-hoc wireless network. In: Computational Intelligence and Sustainable Systems (CISS), EAI/Springer Innovations in Communications and Computing, pp. 227–234 (2019)
Santhi, S. et al.: Design and implementation of area and delay efficient FXLMS filter for active noise cancellation. In: Computational Intelligence and Sustainable Systems (CISS), EAI/Springer Innovations in Communications and Computing, pp. 115–129 (2019)
Alsharif, M.H., et al.: Energy harvesting techniques for wireless sensor networks/radio-frequency identification: a review. Symmetry. 11, 865 (2019)
Patnaikuni, D., Patnaikuni, S.: A model approach towards energy harvesting and battery less self powered Internet of Things (IoT) applications. Int. J. Res. Advent Technol. 6(6), 1038–1041 (2018)
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Chandragandhi, S., Udayakumar, E., Srihari, K. (2021). A Novel Approach on Renewable Energy Harvesting Using Internet of Things (IoT). In: Gupta, D., Hugo C. de Albuquerque, V., Khanna, A., Mehta, P.L. (eds) Smart Sensors for Industrial Internet of Things. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-52624-5_17
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