Hierarchical Topology Control for Wireless Networks : Theory, Algorithms, and Simulation

Content: Cover
 Half Title
 Title Page
 Copyright Page
 Contents
 Preface
 Acknowledgments
 Authors
 1 Wireless Networks
 1.1 Introduction
 1.1.1 Introduction to Wireless Networks
 1.1.1.1 Development History of Wireless Networks
 1.1.1.2 Standards for Wireless Networks
 1.1.2 Classification of Wireless Networks
 1.2 Wireless Ad Hoc Network
 1.2.1 Introduction to Wireless Ad Hoc Networks
 1.2.2 Characteristics of Ad Hoc Networks
 1.2.3 The Structure of the Nodes in Ad Hoc Networks
 1.2.4 The Architecture of Ad Hoc Networks
 1.2.5 The Application of Ad Hoc Networks
 1.3 Wireless Sensor Network 1.3.1 Introduction to the WSN1.3.2 The Structure of Nodes in WSNs
 1.3.3 The Architecture of WSNs
 1.3.4 Technologies of WSNs
 1.3.5 Applications of the WSN
 1.3.5.1 Military Application
 1.3.5.2 Agricultural Application
 1.3.5.3 Industrial Application
 1.3.5.4 Environmental Observation and Forecasting System
 1.3.5.5 Building Condition Monitoring
 1.3.5.6 Medical Nursing
 1.3.5.7 Smart Home
 1.3.5.8 Space and Ocean Exploration
 1.3.6 Characteristics and Challenges of WSNs
 References
 2 Topology Control of Wireless Networks
 2.1 Introduction of Topology Control 2.2 The Classification of Topology Control2.2.1 Power Control
 2.2.1.1 Minimize the Maximum Transmit Power
 2.2.1.2 Common Power Allocation
 2.2.1.3 Direction-Based Power Control
 2.2.1.4 Power Control Based on Node Degree
 2.2.1.5 Power Control Based on Proximity Graph
 2.2.2 Hierarchical Topology Control
 References
 3 Clustering Algorithms
 3.1 Clustering Routing Protocols in Wireless Ad Hoc Networks
 3.1.1 Outline
 3.1.2 Classic Clustering Algorithms in Wireless Ad Hoc Networks
 3.1.2.1 Minimum ID Clustering Algorithm
 3.1.2.2 Maximum Degree Clustering Algorithm 3.1.2.3 Motion-Based Clustering Algorithm3.1.2.4 Weight-Based Clustering Algorithm
 3.1.2.5 Clustering Algorithm Based on Geographical Location
 3.2 Clustering Routing Protocol in a WSN
 3.2.1 Outline
 3.2.2 The Advantages and Goals of Clustering Algorithms
 3.2.3 The Classification of Clustering Algorithms
 3.2.3.1 The Characteristics of Clusters
 3.2.3.2 The Characteristics of Cluster Heads
 3.2.3.3 The Process of Clustering
 3.2.3.4 The Whole Process of the Algorithms
 3.2.4 Classic Clustering Algorithms and Related Works in WSNs
 3.2.4.1 LEACH 3.2.4.2 Centralized and Hybrid Clustering Algorithms (LEACH-C)3.2.4.3 Iterative Clustering Algorithms
 3.2.4.4 Chain Clustering Algorithms (PEGASIS)
 3.2.4.5 Energy Heterogeneous Clustering Algorithms
 3.2.4.6 Self-Adaptive Clustering Algorithms
 3.2.4.7 Uneven Clustering Algorithms
 3.2.4.8 Energy-Driven Clustering Algorithms
 3.2.4.9 Grid Clustering Algorithms
 3.2.4.10 Responsive Hybrid Clustering Algorithms
 3.2.4.11 Multilayer Clustering Algorithms
 3.2.4.12 Clustering Algorithms Based on Fuzzy Logic Control
 3.2.4.13 Other Clustering Algorithms
 Bibliography