Crypto Currency Compensation Model to Detect Optimal Channel of Internet of Things Through Blockchain
Journal Title: International Journal of Innovations in Science and Technology - Year 2025, Vol 7, Issue 1
Abstract
The ever-growing number of belongings of internet (IoT) devices in civilization creates a reliable, accessible, and safe infrastructure for processing the calculated data. One-point failures result from the prevalent IoT version's use of an imperative cloud server approach. Because Blockchain uses a distributed community, IoT is integrated with Blockchain generation to avoid this. Consequently, this study has developed a fully autonomous and self-regulating learning system that can accurately operate channel time/spectral characteristics to communicate multiuser statistics. The future system is distinct in that it uses community metrics as its primary basis to recognize and adjust to increasing community density. Following the extraction of those capabilities, the projected protocol efficiently selects the appropriate channel for incoming nodes based on its interval features, recognizes and allocates the idle spectrum of nearby channels, and provides the optimal and appropriate channel utilization through an article called multilevel Gaussian radial and a multilayer non-linear assist vector machine (SVM) type model. The value consumption rate of the secure network and its functionalities is calculated in order to assess the performance of the proposed system. Future and conventional systems are compared. Associated to the prior model, the accuracy of the current model is 95.6%.
Authors and Affiliations
Muhammad Toseef Javaid, Shahan Yamin Siddiqui, Nusratullah Tauheed, Shakeel Abbas, Nabeela Yaqoob, Shahid Khalid
Keywords
Related Articles
- EP ID EP762999
- DOI -
- Views 25
- Downloads 0
A Novel Guard Zone Based Multiple Access Protocol for Autonomous D2D Cellular Communication
In today's interconnected and digitally driven era, Device-to-Device (D2D) communication has emerged as a transformative paradigm, enabling direct and efficient interactions between nearby devices with or without tradi...
Enhancing Face Mask Detection in Public Places with Improved Yolov4 Model for Covid-19 Transmission Reduction
Over the past decade, computer vision has emerged as a pivotal field, focusing on automating systems through the interpretation of images and video frames. In response to the global impact of the COVID-19 pandemic, the...
Design of a High Gain Dual Band Patch Antenna with T Slot Ground Structure for Millimeter Wave Communication Applications
This paper introduces a novel design approach for achieving high gain, dual-band operation, and enhanced bandwidth in a microstrip patch antenna tailored for 5G applications. The antenna operates at the millimeter-wave...
Comparative Study of Food Image Classification Performance Using the Xception Architecture
Food allergies remain a critical issue that needs more research. To identify and manage food allergies, the integration of complex computational approaches is becoming more and more important, opening the door to more in...
Pedagogical Suitability: A Software Metrics-Based Analysis of Java and Python
Programming is one of the foundational skills essential for computer science professionals, yet attaining proficiency in this skill is widely acknowledged as a formidable challenge. The intrinsic complexity of program...