Energy and resources management for Multiple Access in Massive IoT network

Massive IoT resources management


  • Ajay Kumar Barapatre RKDF University
  • Ritesh Sadiwala RKDF University


Resource Management, Task Scheduling, Load balancing, Massive IoT, network protocol


Recent advancements in wireless communications and smart device technology have driven the development of the Internet of Things (IoT), which enables millions of physical products to be connected to the Internet through ubiquitous sensing and computing capabilities. Currently, IoT is an essential component of the future Internet and has attracted the interest of both academics and industry because of its enormous potential to offer services to consumers in many sectors of modern life. The progress of technology has oriented researchers towards the creation of a massive Internet of Things (IoT). It aims to overcome the IoT challenges, such as providing connectivity to massive power-constrained devices distributed over a large geographical area. To accomplish this objective, the paper presented a fuzzy logic and optimization-based resource management algorithm for Massive IoT network. The result analysis was evaluated in terms of average path loss, average delay and average energy requirement. The methodology shows its efficiency and achieved desired goals with varying IoT environments.



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Author Biographies

  • Ajay Kumar Barapatre, RKDF University

    Department of Electronics and Communication Engineering.

  • Ritesh Sadiwala, RKDF University

    Department of Electronics and Communication Engineering








How to Cite

Barapatre, A. K., & Sadiwala, R. (2023). Energy and resources management for Multiple Access in Massive IoT network. Journal of Integrated Science and Technology, 11(3), 518.

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