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An Optimized High Gain Microstrip Patch Array Antenna for Sensor Networks

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Communication, Networks and Computing (CNC 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 839))

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Abstract

Wake-up receivers exhibit a wake-up range of few meters while the sensor nodes present a communication range of hundred meters. This gap between wake-up range and communication range limits the use of wake-up receivers with sensor nodes. In this paper, a high gain and compact size microstrip patch array antenna is presented for wake-up receiver in order to increase the wake-up range. The antenna is designed at operating frequency of 2.45 GHz for low loss RT/Duroid 4003C substrate. The fabricated antenna exhibits a gain of 8 dBi while occupies an area of just 64x81 mm\(^{2}\). The measurement results are closely matching with the simulation results.

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Notes

  1. 1.

    Antenna efficiency (also known as radiation efficiency or simply efficiency) is a measure of the radiated power (as electromagnetic waves) through antenna to the power fed to antenna terminals.

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Acknowledgment

Author would like to thank Rogers Corporation, US for providing free high frequency Duroid laminates.

Author information

Authors and Affiliations

  1. Indian Institute of Technology Kanpur, Kanpur, India

    Chandra Shekhar

Authors
  1. Chandra Shekhar
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Correspondence to Chandra Shekhar .

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Editors and Affiliations

  1. Indian Institute of Information Technology, Allahabad, India

    Shekhar Verma

  2. ITM University, Gwalior, India

    Ranjeet Singh Tomar

  3. ITM University, Gwalior, India

    Brijesh Kumar Chaurasia

  4. Indian Institute of Information Technology, Allahabad, India

    Vrijendra Singh

  5. School of Information Technology, Deakin University, Burwood, VIC, Australia

    Jemal Abawajy

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Shekhar, C. (2019). An Optimized High Gain Microstrip Patch Array Antenna for Sensor Networks. In: Verma, S., Tomar, R., Chaurasia, B., Singh, V., Abawajy, J. (eds) Communication, Networks and Computing. CNC 2018. Communications in Computer and Information Science, vol 839. Springer, Singapore. https://doi.org/10.1007/978-981-13-2372-0_16

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  • DOI: https://doi.org/10.1007/978-981-13-2372-0_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2371-3

  • Online ISBN: 978-981-13-2372-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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