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A Review on Solar Forecasting and Power Management Approaches for Energy-harvesting Wireless Sensor Networks by Amandeep Sharma; Ajay Kakkar is a Computer Science article available to read on EtoBox.

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is the need of precise irradiance measurements and power to resource modelling. WSNs are employed in an adhoc manner comprises of numerous sensing nodes and organised as a network for the sake of checking and balancing the environmental factors. Each node has sensing, computation, communication, and locomotion capabilities but operates with limited battery life. Energy harvesting is a way of powering these WSNs by harvesting energy from the environment. By considering harvested energy as an energy source, certain considerations are different from that of battery-operated networks. Nondeterministic energy availability with respect to time is the reason behind these differences, which put a limit on the maximum rate at which energy can be used. Thus, reliable knowledge of solar radiation is essential for informed design, deployment planning, and optimal management of energy in rechargeable WSNs. Further, power management is essential in self-powerssed networks to efficiently utilize the available energy. In this paper, a detailed survey on different solar forecasting techniques has been presented for precise energy estimates. A detailed study on energy efficient power management tech

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Author

Amandeep Sharma; Ajay Kakkar

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; John Wiley & Sons Ltd.; Wiley (ISSN 1074-5351)

Published

2020

Language

EN

Field

Computer Science (Physical Sciences)