An Effective Forest Fire Detection Framework Using Heterogeneous Wireless Multimedia Sensor Networks

Keyphrases

• Energy Efficiency 100%
• Heterogeneous Wireless Networks 100%
• Wireless multimedia Sensor Networks 100%
• Detection Accuracy 100%
• Forest Fire Detection 100%
• Detection Framework 100%
• Validation Accuracy 100%
• Energy Saving 50%
• Lightweight Structures 50%
• Surveillance System 50%
• Model Validation 50%
• Environmental Monitoring 50%
• Computational Model 50%
• Multimedia 50%
• Scalar 50%
• Smart Sensors 50%
• Edge Computing 50%
• Internet of Things 50%
• Data Transmission 50%
• Energy Detection 50%
• Energy Requirement 50%
• Hierarchical Approach 50%
• Model Size 50%
• Visual Data 50%
• Computational Requirements 50%
• Real-world Testbed 50%
• Network Testbed 50%
• Edge Devices 50%
• Deep Learning Model 50%
• Forest Fire 50%
• Multimedia Sensor 50%
• 10-fold Cross Validation 50%
• Internet of Things System 50%
• Multimedia Data Transmission 50%
• Network Simulation 50%
• Lightweight Deep Learning Model 50%

INIS

• accuracy 100%
• detection 100%
• sensors 100%
• fires 100%
• forests 100%
• validation 60%
• energy 40%
• internet 40%
• energy efficiency 40%
• devices 40%
• architecture 40%
• learning 40%
• data transmission 40%
• information 20%
• data 20%
• size 20%
• optimization 20%
• operation 20%
• simulation 20%
• monitoring 20%
• surveillance 20%
• transmission 20%
• scalars 20%
• sinks 20%

Computer Science

• Sensor Networks 100%
• Multimedia 100%
• Energy Efficiency 66%
• Internet of Things 66%
• Deep Learning Model 66%
• Detection Accuracy 66%
• Testbed 33%
• Edge Computing 33%
• Energy Saving 33%
• Energy Detection 33%
• Network Simulation 33%
• Fold Cross Validation 33%
• Multimedia Data 33%
• Accurate Information 33%