Data Transmission Final Year Projects with Source Code
Data Transmission Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Data Transmission 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.
Data Transmission Final Year Projects
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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. -
Location Centric Energy Harvesting Aware Routing Protocol for IoT in Smart Cities
This project focuses on making IoT-based wireless sensor networks last longer by using energy harvesting. It introduces a simple way to route data between sensor nodes that uses less energy. The method chooses the best path based on the closest direction to the target node. Experiments show it works well and helps the network run efficiently for a longer time. -
PSDS–Proficient Security Over Distributed Storage A Method for Data Transmission in Cloud
This project focuses on keeping data safe when stored in the cloud. It introduces a method called PSDS, which separates sensitive and normal data. Sensitive data is split, encrypted, and stored across multiple clouds, while normal data is stored in a single cloud. Tests show that PSDS protects against various cyberattacks and is faster than older encryption methods. -
A Fresh Look at Routing Protocols in Unmanned Aerial Vehicular Networks A Survey
This project studies how drones communicate with each other while moving in the air. It explains why choosing the best path for sending data is difficult because drone networks change quickly. The work compares different new routing methods and shows how well they perform. It also highlights remaining challenges and areas for future research in drone communication. -
An Energy-Efficient MAC Protocol for Three-Dimensional Underwater Acoustic Sensor Networks With Time Synchronization and Power Control
This project focuses on improving underwater sensor networks that monitor oceans and lakes. It introduces a new communication method that organizes sensors in layers and groups to save energy. The system carefully controls timing and power to reduce data collisions and energy use. Simulations show it sends data efficiently while using less power. -
CDEIR Intelligent Routing for Efficient Wireless Sensor Networks Using BUG Algorithm
This project focuses on improving data transmission in Wireless Sensor Networks. It proposes a new routing method that avoids congested nodes, reduces delays, and saves energy. The system finds better paths for data to travel to the main Base Station. Simulations show that this approach works efficiently and quickly. -
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. -
Pizzza A Joint Sector Shape and Minimum Spanning Tree-Based Clustering Scheme for Energy Efficient Routing in Wireless Sensor Networks
This project focuses on improving wireless sensor networks, which often run out of energy quickly. It introduces a new method called Pizzza, which organizes sensors into clusters and carefully chooses leaders to manage data. This approach reduces unnecessary energy use, balances workload among sensors, and prevents wasted data transmission. As a result, the network lasts longer and uses energy more efficiently compared to existing methods. -
Resource Allocation in Multi-Cluster Cognitive Radio Networks With Energy Harvesting for Hybrid Multi-Channel Access
This project studies a wireless network where secondary users can share the radio spectrum with primary users while also harvesting energy from their signals. The goal is to improve data rates and energy efficiency without causing interference to primary users. The system decides how long to sense the spectrum and how much power to use to maximize energy efficiency. Simulations show the new method performs better than existing approaches, balancing data throughput and energy use. -
Secure Relay Selection with Outdated CSI in Cooperative Wireless Vehicular Networks A DQN Approach
This project focuses on improving wireless communication between vehicles. It develops smart methods to choose the best relay car for sending data, even when the network information is outdated. The system uses advanced machine learning techniques to reduce the chances of data being intercepted. Simulations show that the proposed methods perform much better than traditional approaches. -
WSN Clustering Routing Algorithm Combining Sine Cosine Algorithm and Lvy Mutation
This project focuses on improving wireless sensor networks by making them last longer and use energy more evenly. It introduces a smart method to choose leader nodes based on their energy and position. The method also uses advanced search techniques to optimize node selection. Overall, it helps the network work efficiently and balance the workload among all nodes.
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Data Transmission Project Synopsis & Presentation
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Data Transmission Project Thesis Writing
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