Routing Algorithm Final Year Projects with Source Code

Byadmin Final Year Projects

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

Routing Algorithm Final Year Projects

  1. 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.
  2. An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks
    This project focuses on improving data transmission in wireless networks where the quality of connections is uncertain and changes over time. It develops a smart algorithm called OLSB that learns which paths are best for sending data while keeping costs low. The algorithm adapts automatically, improving network efficiency without knowing all connection details in advance. Simulations show that OLSB performs very well and closely matches the best possible routing strategy.
  3. 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.
  4. 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.
  5. Intelligent Urban Cities Optimal Path Selection Based on Ad Hoc Network
    This project focuses on making city traffic smarter using Internet of Things (IoT) and artificial intelligence. It uses smartphones as sensors to share traffic information with nearby devices, creating a temporary network even where the internet is weak. The system finds the best routes for drivers, reducing travel time by about 23% compared to traditional methods. It was tested in two urban cities and showed clear improvements in traffic flow.
  6. ML-RPL Machine Learning-Based Routing Protocol for Wireless Smart Grid Networks
    This project uses machine learning to make wireless smart grid networks work better. It improves an existing routing protocol by predicting the best path for data to travel. The system helps data reach its destination more reliably and quickly. Tests show it delivers more packets with less delay, making the network more efficient.
  7. 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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