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

Survey on Chatbot Design Techniques in Speech Conversation Systems

Human-Computer Speech is gaining momentum as a technique of computer interaction. There has been a recent upsurge in speech based search engines and assistants such as Siri, Google Chrome and Cortana. Natural Language Pr...

Hyper Parameter Optimization using Genetic Algorithm on Machine Learning Methods for Online News Popularity Prediction

Online news is a media for people to get new information. There are a lot of online news media out there and a many people will only read news that is interesting for them. This kind of news tends to be popular and will...

Scalable TCP: Better Throughput in TCP Congestion Control Algorithms on MANETs

In the modern mobile communication world the congestion control algorithms role is vital to data transmission between mobile devices. It provides better and reliable communication capabilities in all kinds of networking...

Redesigning Educational Systems Using IJAZA Structure

This paper discusses the use of IJAZA in an education system. The IJAZA system was the system used in the earliest Islamic nation for education and accreditation. The system was designed with a few major cultural concept...

A Genetic Algorithm for Optimizing TCM Encoder

This article describes a genetic algorithm for the optimization of the Trellis Coded Modulation (TCM) schemes with a view to achieve a higher performance in the multipath fading channel. The use of genetic algorithms is...

Download PDF file
  • EP ID EP448805
  • DOI 10.14569/IJACSA.2019.0100141
  • Views 57
  • 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