A Novel Energy-Efficient Approach Based on Clustering Using Gray Prediction in WSNs for IoT Infrastructures

Keyphrases

• Grey Prediction 100%
• Wireless Sensor Networks 100%
• Low Energy Adaptive Clustering Hierarchy (LEACH) 66%
• Experimental Simulation 33%
• Network Lifetime 33%
• Grey Model 33%
• Energy Efficient Clustering 33%
• Event Occurrence 33%
• Distance Factor 33%
• Prediction Process 33%
• Hybrid Energy 33%
• Load Imbalance 33%
• Grey Prediction Model 33%
• Size Prediction 33%
• Energy-aware 33%
• Energy Distance 33%
• Sensor Node 33%
• Constrained Energy 33%
• Prediction Mechanism 33%
• Data Redundancy 33%
• Spatial-temporal Correlation 33%
• Dual Threshold 33%

Computer Science

• Wireless Sensor Network 100%
• Internet-Of-Things 100%
• Data Redundancy 33%
• gray model 33%
• Energy Distance 33%
• Particle Swarm Optimization 33%
• Load Imbalance 33%
• Sensor Node 33%
• Load Balance 33%
• Network Lifetime 33%
• Optimization Technique 33%
• Critical Condition 33%
• Event Occurrence 33%

Engineering

• Wireless Sensor Network 100%
• Internet-Of-Things 100%
• Clustering Algorithm 40%
• Random Event 20%
• Load Balance 20%
• Energy Resource 20%
• Network Lifetime 20%
• Critical Condition 20%
• Hybrid Approach 20%
• Sensor Node 20%
• Hybrid Energy 20%