Internet Of Things Applications Final Year Projects with Source Code

Byadmin Final Year Projects

Internet Of Things Applications Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Internet Of Things Applications projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Internet Of Things Applications Final Year Projects

  1. An Integrated Scalable Framework for Cloud and IoT Based Green Healthcare System
    This project focuses on creating a smart healthcare system using IoT and cloud technology. Patients can send their health data from wearable devices, and doctors can view it in real-time. The system uses advanced algorithms to analyze the data and provides an easy-to-use interactive interface. It also emphasizes efficiency, scalability, and making healthcare more environmentally friendly.
  2. Boosted Barnacles Algorithm Optimizer Comprehensive Analysis for Social IoT Applications
    This project focuses on improving the Social Internet of Things (SIoT), where smart devices share data for health monitoring, emergency alerts, and learning systems. It introduces a new method using the Barnacles Mating Optimizer to make data transfer faster and more accurate. The method was tested on real datasets and showed better performance than existing approaches. Overall, it helps smart devices work together more efficiently.
  3. Deep Learning of Sparse Patterns in Medical IoT for Efficient Big Data Harnessing
    This project focuses on making medical IoT devices more energy-efficient. It uses deep learning to find and keep only the most important data from continuous medical data streams. The system also searches for the best network design to save power while keeping accuracy. This approach can help devices like heart monitors run longer and support better precision medicine.
  4. Holochain An Agent-Centric Distributed Hash Table Security in Smart IoT Applications
    This project studies a new technology called Holochain as an alternative to blockchain for securing Internet of Things (IoT) networks. It focuses on smart agriculture, where land records and data need protection from unauthorized access and corruption. Holochain allows peer-to-peer transactions with better scalability and local data storage compared to blockchain. The research explains its architecture, challenges, and how it can enable secure, distributed applications.
  5. Hybrid Optical Wireless Communication for Versatile IoT Applications Data Rate Improvement and Analysis
    This project develops a new indoor communication system using a single LED that can send data in two ways at the same time: fast data through visible light and slower data through a camera. The system improves both speed and accuracy of data transfer by using multiple signal levels and optimizing light reception. Experiments show it can double the data rate for fast links and achieve error-free transmission for camera-based links. This makes it useful for Internet of Things devices inside buildings.
  6. IoT Underlying Cellular Uplink Through D2D Communication Principle
    This project explores a way for Internet of Things (IoT) devices to communicate directly with each other, instead of always using the main cellular network. The idea is to reduce network congestion by letting nearby devices share data efficiently. The researchers propose a method to manage communication channels and device power. Their results show that IoT traffic can be handled well without affecting the main cellular network.
  7. Quantifying IoT Security Parameters An Assessment Framework
    This project studies many different ways researchers measure security in IoT systems. It collects forty-six metrics from past studies and groups them into clear categories. The work shows which metrics are used most often and which areas are still missing good measures. It helps future researchers choose better methods to evaluate IoT security.
  8. Security-Aware Provenance for Transparency in IoT Data Propagation
    This project studies how to make data in an Internet of Things system more transparent and trustworthy. It adds extra security information to track every step of data movement. The system is tested with different cyber-attack situations to see how well it detects problems. This helps users understand risks and make better decisions without slowing down the system.
  9. Toward Secured IoT-Based Smart Systems Using Machine Learning
    This project studies how smart systems like smart cities and early warning systems use sensors and devices to collect data. Machine learning is applied to this data to make predictions and improve decision-making. The research also examines security methods to keep these systems safe. Two case studies on smart campuses and earthquake warning systems show how this works in practice.
  10. A Blockchain-Based Deep-Learning-Driven Architecture for Quality Routing in Wireless Sensor Networks
    This project improves the security and efficiency of wireless sensor networks (WSNs), which are used in areas like healthcare and military services. It detects and removes malicious nodes using deep learning and a blockchain-based validation system. The network is designed to prevent failures by decentralizing data handling and registering legitimate nodes securely. The results show higher accuracy, better throughput, and lower delay compared to traditional routing methods.
  11. Dual-Tier Cluster-Based Routing in Mobile Wireless Sensor Network for IoT Application
    This project focuses on improving mobile wireless sensor networks, which connect many devices to monitor real-world environments. It introduces a new routing method called Dual Tier Cluster-Based Routing (DTC-BR) that organizes sensors into virtual zones with smart cluster heads. The method reduces energy use, extends network lifetime, and works well even for large networks. Simulations show it performs better than existing routing protocols.
  12. Side-Channel Resistant 2048-Bit RSA Implementation for Wireless Sensor Networks and Internet of Things
    This project shows that strong RSA encryption with a 2048-bit key can run efficiently on a small, low-power microcontroller called MSP430. The researchers used special mathematical techniques to make encryption fast and secure. Their system can encrypt data in 0.14 seconds and decrypt in 7.56 seconds, which is faster than previous methods on similar devices. It also includes protections against attacks that try to steal keys by analyzing power use.
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