A Comprehensive Review on IoT and Edge Computing in Electronics: Trends, Challenges, and Future Directions

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 17 | 01 | Page :
    By

    Rahul Ghodake,

  • Altaf Mulani,

  • Vaibhav Godase,

  • Swapnil Takale,

  1. Assistant Professor, Electronics & Telecommunication, SKN SCOE, Pandharpur, Maharashtra, India
  2. Professor, Electronics & Telecommunication, SKN SCOE, Pandharpur, Maharashtra, India
  3. Assistant Professor, Electronics & Telecommunication, SKN SCOE, Pandharpur, Maharashtra, India
  4. Assistant Professor, Electronics & Telecommunication, SKN SCOE, Pandharpur, Maharashtra, India

Abstract

The Internet of Things (IoT) transformed the electronics industry by enabling ubiquitous connectivity between billions of devices. This has created an unprecedented amount of data, challenging traditional cloud-based architectures with latency, bandwidth, and security issues. Edge computing came as an additive architecture by distributing computation and bringing intelligence to IoT edges to provide real-time responsiveness and reduce dependence on centralized infrastructure. This study offers a thorough analysis of current developments in IoT-edge convergence, including energy-efficient hardware solutions, artificial intelligence- enabled edge nodes, and architectural design models. The potential of new research areas, such as edge AI, federated learning, and TinyML, to facilitate intelligent, scalable, and privacy-preserving decision-making at the network edge is investigated. Critical issues such heterogeneous device interoperability, scarce energy resources, scaling limitations, and growing cybersecurity risks are also covered in this assessment. This report attempts to offer useful insights and direction for future advancements in IoT-enabled edge computing systems by summarizing current research trends and outstanding concerns.The intersection of IoT and edge computing has fuelled innovation in low-power embedded systems, hardware accelerators, and secure communication. This paper provides a comprehensive review of recent developments in IoT–edge convergence, ranging from architecture designs, energy- efficient hardware, and AI-based edge nodes. Recent research directions such as federated learning, TinyML, and edge AI are examined along with the primary limitations such as interoperability issues, energy limitations, and cyber security attacks.

Keywords: Edge Computing, Embedded Electronics, Energy Efficiency, Cybersecurity, Internet of Things (IoT)

How to cite this article:
Rahul Ghodake, Altaf Mulani, Vaibhav Godase, Swapnil Takale. A Comprehensive Review on IoT and Edge Computing in Electronics: Trends, Challenges, and Future Directions. Journal of Electronic Design Technology. 2026; 17(01):-.
How to cite this URL:
Rahul Ghodake, Altaf Mulani, Vaibhav Godase, Swapnil Takale. A Comprehensive Review on IoT and Edge Computing in Electronics: Trends, Challenges, and Future Directions. Journal of Electronic Design Technology. 2026; 17(01):-. Available from: https://journals.stmjournals.com/joedt/article=2026/view=238860


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Ahead of Print Subscription Review Article
Volume 17
01
Received 14/01/2026
Accepted 20/01/2026
Published 18/03/2026
Publication Time 63 Days
35

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