Linked e-resources
Details
Table of Contents
Preface; Acknowledgments; Contents; 1 A Game Theory-Based Hybrid Medium Access Control Protocol for Congestion Control in Wireless Sensor Networks; Abstract; 1 Introduction; 1.1 Types of Congestion; 1.2 Congestion Control; 2 Energy Aware MAC Operation; 2.1 Literature Survey; 3 MAC Protocol; 3.1 Overview of WSN; 3.2 MAC Protocol for Intracluster Domain; 3.2.1 ETDMA MAC Protocol; 3.2.2 Energy Model of ETDMA MAC; 3.3 MAC Protocol for Intercluster Domain; 3.3.1 NanoMAC Protocol; 3.3.2 Energy Model of NanoMAC; 4 Hybrid MAC Protocol; 4.1 System Model; 5 Game Formulation; 5.1 Repeated Game
5.2 Game Formulation for GH-MAC6 Simulation Results and Discussions; 6.1 Energy and Delay Analysis for Intracluster Network; 6.2 Energy and Delay Analysis of Intercluster Network; 6.3 Energy and Delay Analysis for Hybrid MAC Protocol; 7 Conclusion; References; 2 Cooperative Games Among Densely Deployed WLAN Access Points; Abstract; 1 Introduction; 1.1 Need for Cooperation in Unmanaged Wireless Environments; 1.2 Cooperation and Improved User Experience; 1.3 Cooperative Approach; 1.4 Clique Graph Representation; 1.4.1 Edge Weights of the Clique Graph; 1.5 Security and Communication Concerns
1.6 Chapter Contribution2 Related Work; 3 A Graph-Theoretic, Cooperative Game; 3.1 Background; 3.1.1 Graph Theory; 3.1.2 Game Theory; 3.2 The Mathematical Framework; 3.2.1 The Graph; 3.2.2 Time; 3.2.3 (Non-)Cooperative Neighbors; 3.2.4 Experienced Quality; 3.3 The Graphical Game; 4 Agreement Nash Equilibria for Clique Networks; 4.1 Agreement Profiles; 4.2 Analysis of Agreement Profiles; 4.3 Necessary Conditions for Nash Equilibria; 4.4 Sufficient Conditions for Nash Equilibria; 4.5 A Characterization for Nash Equilibria; 5 Simulation Evaluation; 6 Conclusions and Future Work; References
3 Simulating a Multi-Stage Screening Network: A Queueing Theory and Game Theory ApplicationAbstract; 1 Introduction; 1.1 Background; 2 The Model; 2.1 Notation; 2.2 Payoffs of Applicants and Approver; 3 Simulation; 3.1 Simulating a Perfect One-Stage Screening System; 3.2 Simulating an Imperfect Multi-stage Screening System; 3.3 Designing Input and Output Functions in Arena; 3.4 Setting up Simulation; 4 Designing a Graphic User Interface with Matlab; 4.1 Generating Input Parameters for Simulation; 4.2 Calculating the Optimal Strategies Using Numerical Methods; 4.3 Designing Output Data Analysis
5 Numerical Experiments5.1 Data Sources for Input Parameters; 5.2 Simulation Results: Optimal Strategies and Payoffs; 6 Conclusion and Future Research Directions; References; 4 A Leader
Follower Game on Congestion Management in Power Systems; Abstract; 1 Introduction; 1.1 Problem Statement; 1.2 Literature Review; 1.3 Main Contributions and Structure of the Chapter; 2 Overview of the Proposed Approach; 3 Initiation and Nash-SFE Model: Blocks 1 and 2; 4 Operator's Transmission Congestion Management: Block 3; 5 Operator's Strategy Selection Using TOPSIS: Block 4; 6 Simulation Results
5.2 Game Formulation for GH-MAC6 Simulation Results and Discussions; 6.1 Energy and Delay Analysis for Intracluster Network; 6.2 Energy and Delay Analysis of Intercluster Network; 6.3 Energy and Delay Analysis for Hybrid MAC Protocol; 7 Conclusion; References; 2 Cooperative Games Among Densely Deployed WLAN Access Points; Abstract; 1 Introduction; 1.1 Need for Cooperation in Unmanaged Wireless Environments; 1.2 Cooperation and Improved User Experience; 1.3 Cooperative Approach; 1.4 Clique Graph Representation; 1.4.1 Edge Weights of the Clique Graph; 1.5 Security and Communication Concerns
1.6 Chapter Contribution2 Related Work; 3 A Graph-Theoretic, Cooperative Game; 3.1 Background; 3.1.1 Graph Theory; 3.1.2 Game Theory; 3.2 The Mathematical Framework; 3.2.1 The Graph; 3.2.2 Time; 3.2.3 (Non-)Cooperative Neighbors; 3.2.4 Experienced Quality; 3.3 The Graphical Game; 4 Agreement Nash Equilibria for Clique Networks; 4.1 Agreement Profiles; 4.2 Analysis of Agreement Profiles; 4.3 Necessary Conditions for Nash Equilibria; 4.4 Sufficient Conditions for Nash Equilibria; 4.5 A Characterization for Nash Equilibria; 5 Simulation Evaluation; 6 Conclusions and Future Work; References
3 Simulating a Multi-Stage Screening Network: A Queueing Theory and Game Theory ApplicationAbstract; 1 Introduction; 1.1 Background; 2 The Model; 2.1 Notation; 2.2 Payoffs of Applicants and Approver; 3 Simulation; 3.1 Simulating a Perfect One-Stage Screening System; 3.2 Simulating an Imperfect Multi-stage Screening System; 3.3 Designing Input and Output Functions in Arena; 3.4 Setting up Simulation; 4 Designing a Graphic User Interface with Matlab; 4.1 Generating Input Parameters for Simulation; 4.2 Calculating the Optimal Strategies Using Numerical Methods; 4.3 Designing Output Data Analysis
5 Numerical Experiments5.1 Data Sources for Input Parameters; 5.2 Simulation Results: Optimal Strategies and Payoffs; 6 Conclusion and Future Research Directions; References; 4 A Leader
Follower Game on Congestion Management in Power Systems; Abstract; 1 Introduction; 1.1 Problem Statement; 1.2 Literature Review; 1.3 Main Contributions and Structure of the Chapter; 2 Overview of the Proposed Approach; 3 Initiation and Nash-SFE Model: Blocks 1 and 2; 4 Operator's Transmission Congestion Management: Block 3; 5 Operator's Strategy Selection Using TOPSIS: Block 4; 6 Simulation Results