Bio-inspired approaches for energy-efficient localization and clustering in uav networks for monitoring wildfires in remote areas

Engineering

• Unmanned Aerial Vehicle 100%
• Basestation 100%
• Clustering Algorithm 100%
• Remote Area 100%
• Cluster Head 100%
• Metrics 50%
• Analytical Model 50%
• Optimization Method 50%
• Search Space 50%
• Measurement Error 50%
• Localization Accuracy 50%
• Compressive Sensing 50%
• Cooperative Control 50%
• Localization Error 50%

Computer Science

• Energy Efficient 100%
• Grey Wolf Optimization 100%
• Unmanned Aerial Vehicle 66%
• Clustering Algorithm 66%
• cluster-head 66%
• Performance Evaluation 33%
• localization algorithm 33%
• Performance Metric 33%
• Fundamental Function 33%
• Analytical Model 33%
• Search Space 33%
• Clustering Scheme 33%
• Measurement Error 33%
• Compressive Sensing 33%