Design and Simulation of Novel Multi-Band Planar Inverted F-Antenna for Close-range IoT Applications

Authors T.J. Swamy, K.V. Kumar, K. Abhilash, P.P. Sai
Affiliations

Gokaraju Rangaraju Institute of Engineering and Technology, 500090 Bachupally, Hyderabad, India

Е-mail jagan.tata@griet.ac.in
Issue Volume 16, Year 2024, Number 6
Dates Received 25 August 2024; revised manuscript received 20 December 2024; published online 23 December 2024
Citation T.J. Swamy, K.V. Kumar, et al., J. Nano- Electron. Phys. 16 No 6, 06004 (2024)
DOI https://doi.org/10.21272/jnep.16(6).06004
PACS Number(s) 84.40.Ba
Keywords Planar Inverted-F antenna, Multi-band, Zigbee (2) , CST (6) , Bluetooth, IoT (5) .
Annotation

Planar inverted F antenna (PIFA) is one of the emerging technologies suited for various mobile applications. Though it is capable of covering a wide range of applications in wireless services, these antennas are designed for multi-band frequencies. To enhance its applications in the areas of wireless communication, an antenna is integrated with IoT (Internet of Things) devices. The compact size and low profile of the PIFA antenna is a notable feature, enhancing its suitability for integration into small devices. In this research paper, we proposed a Multi-Band Planar Inverted F-Shaped Antenna (PIFA) specifically designed for general close-range Internet of Things (IoT) applications. The proposed designed antenna produces an average gain of 2.62 dBi with a return loss of – 20 dB and its operating bandwidths are 2.40 – 2.45 GHz, 3.9 – 4.3 GHz, and 5 – 5.2 GHz covering Zigbee, Bluetooth, and Wi-Fi frequency band applications. Its multi-band frequency response is obtained by inserting an L-shaped slots of various lengths on a radiating patch of PIFA antenna, allowing for precise tuning of operation frequencies. In the design of an antenna, the resonance frequencies for each band are controlled by manipulating the lengths of the corresponding slots. In addition to the desired frequency and gain, the paper evaluates key parameters including bandwidth, directivity, and radiation patterns with the help CST simulation environment and ensures accuracy in predicting the antenna's performance parameters.

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