Energy Efficiency Projects for ME, MTech, Masters, MS abroad, and PhD students. These Energy Efficiency ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Energy Efficiency Projects
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Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax Optimization
This project focuses on improving cloud computing performance by balancing workloads across servers more efficiently. It introduces a new algorithm inspired by the Rock Hyrax to avoid uneven work distribution and reduce energy use. Tests show it speeds up processing by 10%–15% and lowers energy consumption by 8%–13%. The approach helps data centers run faster and use power more efficiently. -
An Adaptive Energy-Efficient Uneven Clustering Routing Protocol for WSNs
This project focuses on improving energy use in large wireless sensor networks. It introduces a method to form clusters of nodes efficiently and choose cluster leaders based on energy and location. The system plans data routes between clusters to save energy. Overall, it helps the network last longer and avoids areas running out of power. -
Double-Faced Active Intelligent Reflecting Surfaces-Assisted Symbiotic Radio Communications
This project focuses on improving energy efficiency for Internet-of-Things devices in next-generation wireless networks. It uses a special system called symbiotic radio with a double-sided intelligent surface to help devices send and receive signals more efficiently. The researchers designed an algorithm to optimize the system so it works well while using less power. Simulations show it performs better than other similar methods. -
Efficient Embedded Fixed-Point Direction of Arrival Method
This project develops a method to locate Bluetooth devices indoors using radio signals. It focuses on small, low-power devices that cannot perform complex calculations easily. The researchers created a simpler, energy-efficient algorithm that quickly estimates the direction of signals with high accuracy. Experiments show it works much faster and uses less energy than traditional methods while keeping precise angle measurements. -
Optimizing D2D Communication With Practical STAR-RIS and Irregular Configurations
This project improves device-to-device wireless communication using smart surfaces that can send and reflect signals at the same time. It makes the system cheaper and able to cover more area by using simple signal controllers. The research also proposes turning on only some surface elements in a smart way to improve performance. Their method boosts both the communication speed and energy efficiency compared to existing systems. -
Relay-Aided Uplink NOMA Under Non-Orthogonal CCI and Imperfect SIC in 6G Networks
This project studies how future 6G networks can handle many users and machines sharing the same resources. It looks at using NOMA and relays to improve communication even when interference is high. The work analyzes how nearby transmissions reduce performance and proposes ways to optimize power and relay placement. Simulations show that these optimizations can make the network more reliable. -
A High-Level Synthesis Library for Synthesizing Efficient and FunctionalSafe CNN Dataflow Accelerators
This project focuses on making deep learning models run faster and more efficiently using special hardware. It allows users to turn CNN models from Python frameworks like TensorFlow or PyTorch into hardware designs automatically. The system improves speed and energy use while keeping the design process simple. It also adds safety and better data handling features for reliable performance.
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