Journal of Multi Disciplinary Engineering Technologies
Volume 19 • Issue 01 • Published: Dec 2025 • ISSN (Print): 0974-1771 • ISSN (Online): 2581-9372

Enabling Next-Gen IoT with 5G: A Sector-Wise Study on Smart Cities, Healthcare, and Logistics

Anand Misra1, Hasdeep Singh1*, Jolly Parikh1

1 Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, Delhi, 110063, India.
*Corresponding author(s): hasdeep26singh@gmail.com
Contributing authors: anandmisraaa@gmail.com; jolly.parikh@bharatividyapeeth.edu

Abstract

The Internet of Things (IoT) is currently constrained by the latency, bandwidth, and scalability limitations of existing communication technologies. The adoption of fifth generation (5G) networks offers a critical paradigm shift, providing ultra-low-latency and higher data rates essential for next-generation IoT applications. This paper presents a sector-wise study detailing the disruptive impact of 5G across three key industries: smart cities, healthcare, and logistics. Our analysis reveals that: (1) In smart cities, 5G significantly enhances infrastructure efficiency through next-generation transportation and real-time evacuation systems. (2) In healthcare, 5G enables rapid diagnostics and telemedicine via highly reliable wearable devices. (3) In logistics, it provides essential real-time monitoring, automation, and predictive maintenance throughout supply chains. The study further analyses key technical enablers for this integration, specifically network slicing, edge computing, and massive MIMO (Multiple-Input Multiple-Output), alongside a discussion of interconnected challenges related to security, standardization, and infrastructure. This work provides a foundational review of current and future trends, outlining critical implications for future research toward developing scalable 5G-enabled IoT networks.

Keywords

5G Networks
Internet of Things
Smart Cities
Healthcare
Logistics
Low Latency
Edge Computing

Article information

Journal: Journal of Multi Disciplinary Engineering Technologies
Volume / Issue: 19 / 01
Published: Dec 2025
ISSN (Print): 0974-1771
ISSN (Online): 2581-9372