About the Journal

About the Journal

The newly proposed academic journal "Smart Internet of Things (SIOT)" aims to serve as a leading platform for the dissemination of cutting-edge research and advancements in the field of smart city technologies and novel computing environments. The journal's primary objective is to foster interdisciplinary collaboration among researchers, practitioners, and policymakers to explore innovative solutions that address urban challenges through smart technologies. It will cover a broad spectrum of topics, including but not limited to IoT applications, urban data analytics, sustainable infrastructure, AI-driven urban planning, and cybersecurity in smart cities. By providing a rigorous peer-reviewed outlet for high-quality research, SIOT seeks to contribute to the development of smarter, more efficient, and sustainable urban environments, ultimately enhancing the quality of life for city dwellers worldwide. 

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Vol. 3 No. 3 (2026): Smart Internet of Things
Published: 2026-10-25

Articles

  • Collaborative IoT Cloud and Edge Computing Solutions for Smart Cities

    Amin Maghsoudi, Shubham Hamirwasia
    109-117
    https://doi.org/10.48313/siot.v3i3.207
  • Fog Computing in IoT-Driven Smart City Traffic Control Systems

    Kumar Sambhav, Amir Ekbatanifard
    118-126
    https://doi.org/10.48313/siot.v2i1.243
  • Dynamic Resource Allocation in Edge-Enabled IoT Systems for Smart Cities

    Kumar Shaurab
    127-136
    https://doi.org/10.48313/siot.v3i3.244
  • Secure Routing Protocols for Wireless Sensor Networks in IoT

    Kushagra Srivastava
    137-147
    https://doi.org/10.48313/siot.v3i3.233
  • IoT-Driven Smart City Water Ouality Monitoring with Cloud-Based Analytics

    Aditya Panda, Ali Rahimi
    148-154
    https://doi.org/10.48313/siot.v3i3.261
  • Development of a Gas Sensor Alarm for Domestic and Remote Locations Using Arduino IDE and Node MCU

    Ganesh Badathala, Khushabu Trivedi, Arian Aghajafari
    155-162
    https://doi.org/10.48313/siot.vi.298
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Edge Computing for Low-Latency loT Applications in Smart Cities

Chandra Mani Patel *
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Energy-Efficient IoT Networks Using AI Driven Approaches

Owais Raza *
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Load Balancing Demystified: A Comprehensive Study of Load Balancing Architectures in Cloud Computing

Malvika Narsipuram; Ananya Rai; Astha Tiwari
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