Table of Content

Advanced Mathematical Tool-Based Internet of Things (IoT)

Submission Deadline: 31 December 2021 (closed)

Guest Editors

Professor Praveen Agarwal, Anand International College of Engineering, India
Prof. Valentina Emilia Balas, "Aurel Vlaicu” University of Arad, Romania


Internet of Things (IoT) is the interconnection of computing devices that are embedded in our day-to-day activities and these are accessed with the use of the Internet. The use of the Internet in such technologies enables them to send and receive data over the Internet and thus, providing anywhere access to the devices. Mathematical tools and techniques are solving real-world problems.

We believe Fuzzy Theory, Game Theory, Graph Theory, Queuing Theory, Reliability Theory, and Simulation can play important contributions to the IoT.  In order to use multi-criteria decision analysis, mathematicians developed a fuzzy information algorithm. In IoT, we use this theory in the place where input variables can be taken at continuous values rather than discrete values. Fuzzy logic and artificial neural network are important technologies in data fusion, in which the data of several sensors are combined in different ways. Similarly, we can use the Game Theory to choose the best available strategies from available strategies to minimize any of the maximum losses or maximize the winnings in any game, war, business competition etc. The game theory approach can be used to optimize work distribution and energy consumption in the IoT network. We can apply game theory to develop professional models. The game theory approach has also been used to investigate multi-tasking and data distribution in IoT. These mathematical tools support the use of the Internet of Things (IoT).  Mathematical tools and the Internet of Things (IoT) can be jointly applied to many areas.

This special issue aims to provide advanced theory and application for researchers and practitioners to contribute original research and review articles that present the state-of-the-art research outcomes, practical results, latest findings, and future evolutions of mathematical tools in IoT applications.


• Internet of Things
• production engineering computing
• smart products
• fractional calculus
• ambient intelligence
• context awareness
• smart factory
• Industry 4.0 applications
• efficient production
• management processes
• smart devices
• smart home
• smart health scenarios

Published Papers

  • Open Access


    Thermogram Adaptive Efficient Model for Breast Cancer Detection Using Fractional Derivative Mask and Hybrid Feature Set in the IoT Environment

    Ritam Sharma, Janki Ballabh Sharma, Ranjan Maheshwari, Praveen Agarwal
    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 923-947, 2022, DOI:10.32604/cmes.2022.016065
    (This article belongs to this Special Issue: Advanced Mathematical Tool-Based Internet of Things (IoT))
    Abstract In this paper, a novel hybrid texture feature set and fractional derivative filter-based breast cancer detection model is introduced. This paper also introduces the application of a histogram of linear bipolar pattern features (HLBP) for breast thermogram classification. Initially, breast tissues are separated by masking operation and filtered by Grmwald–Letnikov fractional derivative-based Sobel mask to enhance the texture and rectify the noise. A novel hybrid feature set using HLBP and other statistical feature sets is derived and reduced by principal component analysis. Radial basis function kernel-based support vector machine is employed for detecting the abnormality in the thermogram. The performance… More >

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