Congestion control for 6LoWPAN networks: A game theoretic framework

Keyphrases

• Congestion Control 100%
• Game Model 100%
• 6LoWPAN Network 100%
• Control Framework 60%
• Game Theory 60%
• Energy Consumption 40%
• Internet of Things 40%
• Congestion 40%
• Performance Improvement 20%
• Sensor Node 20%
• World Wide Web 20%
• Quality of Service 20%
• Duty Cycle 20%
• Protocol Stack 20%
• IEEE 802.15.4 20%
• Congestion Problems 20%
• Internet of Things Applications 20%
• Network Traffic 20%
• Network Performance 20%
• Limited Resources 20%
• Application Requirements 20%
• High Data Rate 20%
• Karush-Kuhn-Tucker Conditions 20%
• Internet Protocol Version 6 (IPv6) 20%
• Congestion Control Algorithm 20%
• Non-cooperation Game 20%
• Network Algorithms 20%
• Game Solving 20%
• Node Priority 20%
• 6LoWPAN 20%
• Uniqueness of Nash Equilibrium 20%
• Lost Packets 20%
• Network Effects 20%
• Game Framework 20%
• Algorithm Comparison 20%
• 6LoWPAN Protocol 20%
• Internet Engineering Task Force 20%
• Limited Sensors 20%
• Existence of Nash Equilibria 20%
• Weighted Fairness 20%
• Lagrange multiplier 20%
• Contiki 20%
• Fairness Index 20%

Computer Science

• Congestion Control 100%
• Theoretic Framework 100%
• Internet-Of-Things 50%
• Control Framework 50%
• Energy Consumption 33%
• End-to-End Delay 33%
• Control Mechanism 16%
• Protocol Stack 16%
• Network Performance 16%
• Quality of Service 16%
• Congestion Problem 16%
• Network Traffic 16%
• Application Requirement 16%
• Sensor Node 16%
• Internet Engineering Task Force 16%
• Lagrange Multiplier Method 16%
• Network Algorithm 16%
• Nash Equilibrium 16%
• Fairness Index 16%