Analysis and Implementation of 5G-IoT based Smart Residential Buildings using Cisco Packet Tracer 8.1

Authors

  • Narendra Gurjar  Department of Computer Science and Engineering, Laxmi Narain Collage of Technology and Science (RIT), Indore, Madhya Pradesh, India
  • Jitendra Dangra  Department of Information Technology, Laxmi Narain Collage of Technology and Science (RIT), Indore, Madhya Pradesh, India

DOI:

https://doi.org/10.32628/CSEIT228539

Keywords:

Smart Residential Buildings, 5G, IoT, Cisco Packet Tracer Simulator

Abstract

Integration of IoT and 5G enables us to fulfil today’s need to create smart residential buildings to enhance life quality and safety in various aspects. This paper proposes the design and implementation of a 5G IoT based Smart Residential Building using the most recent version of CISCO Packet Tracer (a simulation software). Different smart IoE devices were used for automation which allow distant monitoring and controlling. Since these buildings are vulnerable to cyber-attacks and security threats, this paper also analyzes the proposed security framework and how such an implementation on using various sensors and actuators enables us to enhance the security and safety. In addition to this, we also outline the measures to be taken by the government and building owners to strengthen the security. The simulation results show that integrating 5G and IoT is a promising and cost-effective if it gets implemented practically in the real world.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-12-30

Issue

Volume 8, Issue 6, November-December-2022

Section

Research Articles

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How to Cite

[1]
Narendra Gurjar, Jitendra Dangra, " Analysis and Implementation of 5G-IoT based Smart Residential Buildings using Cisco Packet Tracer 8.1 " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 6, pp.343-352, November-December-2022. Available at doi : https://doi.org/10.32628/CSEIT228539