Methodology for Developing an IoT-based Parking Space Counter System using XNO

Authors

  • Sujanavan Tiruvayipati Department of Computer Science and Engineering, Maturi Venkata Subba Rao Engineering College, Osmania University, Hyderabad, Telangana, India
  • Ramadevi Yellasiri Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Osmania University, Hyderabad, Telangana, India
  • Vikram Narayandas Department of Computer Science and Engineering, Maturi Venkata Subba Rao Engineering College, Osmania University, Hyderabad, Telangana, India; Department of Information Technology, Faculty of Engineering and Technology, Annamalai University, Chidambaram, Tamil Nadu, India
  • Archana Maruthavanan Department of Information Technology, Faculty of Engineering and Technology, Annamalai University, Chidambaram, Tamil Nadu, India
  • Anupama Meduri Department of Computer Science and Engineering, Maturi Venkata Subba Rao Engineering College, Osmania University, Hyderabad, Telangana, India

DOI:

https://doi.org/10.12694/scpe.v25i2.2459

Keywords:

IoT, Blockchain, Block-lattice, Energy-efficient, Sensors, Parking Space Counter

Abstract

The Blockchain-IoT integration is treated as the future technological value by many adopters despite the cost or complexity involved. But, there are technological advancements brought in by communities that make solutions affordable and simple to the fact that they can be used in applications such as parking space counters. This research portrays use of XNO which is a digital currency in an alternative way to keep track of available parking spaces via IoT nodes installed at entry and exit points of parking lots. The available parking spaces data using this approach can be displayed on LED boards at the entry point of the parking lots and on a website for remote status view. An add-on for this research is the issue of entry tickets with timestamp and unique ID by using the block data during asset transfer. This research can be further enhanced for collection of parking fees by the help of IoT nodes at the exit points of the parking lots.

 

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Published

2024-02-24

Issue

Section

Special Issue - Machine Learning and Block-chain based solution for privacy and access control in IoT