Abstract: The advancement of the modern world requires catering the power crisis. New methodologies for energy harvesting were considered, but their succession in a different environment is still to explore. This paper deals with antenna designing to harvest energy from radio signals. The rummage of energy from surrounding sources is considered a harvesting of energy and it would be an alternative approach for low energy utilization. As comparatively well-known sources are considered for energy harvesting; such as wind and solar, radio frequency signal can provide continues supply of energy harvesting. Alternatively, we are getting the maximum usable energy resources which are challenging the amplitude of arriving signal, which is considered very low and the requirements for operating available antennas are proportionally higher. Using the Microstrip patch antenna limited the energy resources, because it is low profile, easy to configure, simple in design at the lowest rate. Furthermore, the combined the configuration and proposed antenna design provide the maximum energy efficiency. More simulation iterations are performed to maximize the gain of ISM band of 2.4 GHz. The operating frequency of microstrip patch antenna is 2.4GHz, which provides the gain of 7.2dB, return loss -20dB and the directivity of 7.44dB. The achieved result of source voltage is 900 mv after rectification the output voltage 2.5v. The results are efficient and suitable to overcome litter bit power crisis.

Muhammad Salman Iqbal, Tariq Jameel Khanzada, Faisal .A Dahri, Asif Ali, Mukhtiar Ali and Abdul Wahab Khokhar, “Analysis and Maximizing Energy Harvesting from RF Signals using T-Shaped Microstrip Patch Antenna” International Journal of Advanced Computer Science and Applications(IJACSA), 10(1), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100141

@article{Iqbal2019,
title = {Analysis and Maximizing Energy Harvesting from RF Signals using T-Shaped Microstrip Patch Antenna},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2019.0100141},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100141},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {1},
author = {Muhammad Salman Iqbal and Tariq Jameel Khanzada and Faisal .A Dahri and Asif Ali and Mukhtiar Ali and Abdul Wahab Khokhar},
}