Analysis and Maximizing Energy Harvesting from RF Signals using T-Shaped Microstrip Patch Antenna

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.

Authors and Affiliations

Muhammad Salman Iqbal, Tariq Jameel Khanzada, Faisal . A Dahri,, Asif Ali, Mukhtiar Ali, Abdul Wahab Khokhar

Keywords

Related Articles

Using Persuasive Recommendations in Wellness Applications based upon User Activities

Recently, a large number of mobile wellness ap-plications have emerged for assisting users in self-monitoring of daily food intake and physical activities. While such applications are in abundance, many research surveys...

 Dimensionality Reduction technique using Neural Networks – A Survey

 A self-organizing map (SOM) is a classical neural network method for dimensionality reduction. It comes under the unsupervised class. SOM is a neural network that is trained using unsupervised learning to produce a...

An Adaptive CAD System to Detect Microcalcification in Compressed Mammogram Images

Microcalcifications (MC) in mammogram images are an early sign for breast cancer and their early detection is vital to improve its prognosis. Since MC appears as small dot in the mammogram image with size less than 1 mm...

Bootstrapping Domain Knowledge Exploration using Conceptual Mapping of Wikipedia

Wikipedia is one of the largest online encyclopedias that exist in a hypertext form. This nature prevents Wikipedia’s potential to be fully discovered. Therefore the focus of this paper is on the role of domain knowledge...

The Discovery of the Implemented Software Engineering Process Using Process Mining Techniques

Process model guidance is an important feature by which the software process is orchestrated. Without complying with this guidance, the production lifecycle deviates from producing a reliable software with high-quality s...

Download PDF file
  • EP ID EP448805
  • DOI 10.14569/IJACSA.2019.0100141
  • Views 89
  • Downloads 0

How To Cite

Muhammad Salman Iqbal, Tariq Jameel Khanzada, Faisal . A Dahri, , Asif Ali, Mukhtiar Ali, Abdul Wahab Khokhar (2019). Analysis and Maximizing Energy Harvesting from RF Signals using T-Shaped Microstrip Patch Antenna. International Journal of Advanced Computer Science & Applications, 10(1), 309-313. https://europub.co.uk/articles/-A-448805