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IoT Based Design of an Intelligent Light System Using CoAP

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Artificial Intelligence and Sustainable Computing for Smart City (AIS2C2 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1434))

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Abstract

The Internet of things (IoT) is leading towards revolutionary applications with huge potential to improvise the efficiency of industries and environment multifold. Applications of IoT are marking their presence using the concept of a remote monitoring system, real-time data, visualization of data, and data analytics. This paper proposes and simulate an IoT based application of an Intelligent Light Control System. Luminosity sensors are used which sense the lux value. The application of light control system uses the lux value to control the switch ON/OFF of LED, remotely using the Constrained Application Protocol (CoAP protocol) at the application layer. The application is simulated in Cooja simulator along with Add-on plug-in Copper (Cu) in the Firefox browser. In this application, LEDs are switched ON/OFF automatically depending upon the availability of sunlight. The aim of this simulation is towards humungous power saving which will be a step forward to a green environment.

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Author information

Authors and Affiliations

  1. Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India

    Ruchi Garg & Sonal Telang Chandel

Authors
  1. Ruchi Garg
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  2. Sonal Telang Chandel
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Editor information

Editors and Affiliations

  1. Gautam Buddha University, Greater Noida, India

    Arun Solanki

  2. Gautam Buddha University, Greater Noida, India

    Sanjay Kumar Sharma

  3. Gautam Buddha University, Greater Noida, India

    Sandhya Tarar

  4. Gautam Buddha University, Greater Noida, India

    Pradeep Tomar

  5. Gautam Buddha University, Greater Noida, India

    Sandeep Sharma

  6. Duy Tan University, Da Nang, Vietnam

    Anand Nayyar

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Garg, R., Chandel, S.T. (2021). IoT Based Design of an Intelligent Light System Using CoAP. In: Solanki, A., Sharma, S.K., Tarar, S., Tomar, P., Sharma, S., Nayyar, A. (eds) Artificial Intelligence and Sustainable Computing for Smart City. AIS2C2 2021. Communications in Computer and Information Science, vol 1434. Springer, Cham. https://doi.org/10.1007/978-3-030-82322-1_10

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  • DOI: https://doi.org/10.1007/978-3-030-82322-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82321-4

  • Online ISBN: 978-3-030-82322-1

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