Energy Efficiency Final Year Projects with Source Code

Byadmin Final Year Projects

Energy Efficiency Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Energy Efficiency 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.

Energy Efficiency Final Year Projects

  1. A Novel Energy-Efficient Scheme for RPL Attacker Identification in IoT Networks Using Discrete Event Modeling
    This project focuses on making IoT networks more secure. The researchers created a system that can detect hidden attacks in IoT devices that are hard to spot. Their method uses smart checking and a special model to tell normal activity from attacks. Tests show it works accurately, uses little energy, and can find the harmful devices without complex setup.
  2. 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.
  3. High-Efficiency Resource Allocation Scheme Introducing the Concept of Resource Sharing Paths in Industrial IoT
    This project focuses on improving industrial wireless networks used in smart factories. It addresses the problem of resource wastage when many devices send data along overlapping routes. The researchers propose a method that shares communication resources on common paths and considers network conditions like congestion. Their simulations show this approach uses resources more efficiently and handles more devices than traditional methods.
  4. 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.
  5. 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.
  6. A Survey of Resource Management in D2D Communication for B5G Networks
    This project studies a new type of wireless communication called Device-to-Device (D2D) for future networks beyond 5G. D2D allows nearby devices to connect directly without relying on a base station. The goal is to increase data speed, network coverage, and energy efficiency while reducing delays. The study reviews current challenges, like interference and security, and suggests ways to improve D2D communication in upcoming networks.
  7. Adaptive Sampling Approach Exploiting Spatio-Temporal Correlation and Residual Energy in Periodic Wireless Sensor Networks
    This project focuses on saving energy in wireless sensor networks, which often collect a lot of repetitive data. It uses smart sampling that adjusts how often sensors collect data based on the energy left in the nodes and patterns in the data. Missing data is later estimated using a simple method called linear regression. The approach reduces energy use while keeping the data accurate and can be applied in areas like water resource management.
  8. 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.
  9. 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.
  10. Distributed Energy-Efficient Clustering and Routing for Wearable IoT Enabled Wireless Body Area Networks
    This project focuses on improving wearable health monitoring networks. It designs a smart method to group devices and send data efficiently while saving energy. Each device considers nearby nodes to form clusters and select leaders using an optimization algorithm. The approach ensures reliable data delivery and performs better than existing methods in tests.
  11. Distributed Intermittent Fault Diagnosis in Wireless Sensor Network Using Likelihood Ratio Test
    This project focuses on detecting faulty sensor nodes in wireless sensor networks. Traditional methods are slow or complex, so the authors propose a faster method called a likelihood ratio test (LRT). It checks sensor data over time and decides if a node is faulty. Tests show it detects faults accurately with almost no false alarms.
  12. 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.
  13. GS-MAC A Scalable and Energy Efficient MAC Protocol for Greenhouse Monitoring and Control Using Wireless Sensor Networks
    This project focuses on improving wireless sensor networks in agricultural greenhouses. The goal is to save energy and extend network lifetime since sensor nodes rely on batteries. The proposed system, GS-MAC, lets nodes sleep efficiently without frequent synchronization, reducing wasted power. Simulations show it uses much less energy and lasts longer than previous methods, though communication can be slightly slower.
  14. 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.
  15. 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.
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