Quick Response Code for Controlling Web of Things

Authors

  • Hassan Khalil Selman Computer Science Department, University of Technology, Iraq.
  • Akbas Ezaldeen Ali Computer Science Department, University of Technology, Iraq.

DOI:

https://doi.org/10.29304/jqcm.2020.12.1.657

Keywords:

Big data,, IT companies,, Energy Management,, Confusion.

Abstract

It is widely acknowledged that the current Internet of Things (IoT) ecosystem is highly fragmented. The Web of Things (WoT) aims to counter the fragmentation using the principles of Web, standardized metadata and APIs. QR i.e. "Quick Response" code is a 2D matrix code that is designed by keeping two points under consideration, i.e. it must store large amount of data as compared to 1D barcodes and it must be decoded at high speed using any handheld device like phones. QR code provides high data storage capacity, fast scanning, omnidirectional readability, and many other advantages including, error-correction (so that damaged code can also be read successfully) and different type of versions. Different varieties of QR code symbols like logo QR code, encrypted QR code, iQR Code are also available so that user can choose among them according to their need. The WoT relies exclusively on application level protocols and tools. Web protocols are a critical factor in the successful implementation of the WoT. However, one of the main issues is web latency that may significantly affect the real-time performance of IoT systems. Some pioneer open stages and models are likewise shown. The latest research results are painstakingly outlined. Moreover, numerous efficient examinations are made to give the understanding in the advancement and eventual fate of WoT. At last, we call attention to some open testing issues that will be confronted and handled by research network.

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Published

2020-02-13

How to Cite

Selman, H. K., & Ali, A. E. (2020). Quick Response Code for Controlling Web of Things. Journal of Al-Qadisiyah for Computer Science and Mathematics, 12(1), Comp Page 1 – 9. https://doi.org/10.29304/jqcm.2020.12.1.657

Issue

Section

Computer Articles