Book description
Information processing in sensor networks is a rapidly emerging area of computer science and electrical engineering research. Because of advances in micro-sensors, wireless networking and embedded processing, ad hoc networks of sensor are becoming increasingly available for commercial, military, and homeland security applications. Examples include monitoring (e.g., traffic, habitat, security), industrail sensing and diagnostics (e.g., factory, appliances), infrastructures (i.e., power grid, water distribution, waste disposal) and battle awareness (e.g., multi-target tracking). This book introduces practitioners to the fundamental issues and technology constraints concerning various aspects of sensor networks such as information organization, querying, routing, and self-organization using concrete examples and does so by using concrete examples from current research and implementation efforts.- Written for practitioners, researchers, and students and relevant to all application areas, including environmental monitoring, industrial sensing and diagnostics, automotive and transportation, security and surveillance, military and battlefield uses, and large-scale infrastructural maintenance
- Skillfully integrates the many disciplines at work in wireless sensor network design: signal processing and estimation, communication theory and protocols, distributed algorithms and databases, probabilistic reasoning, energy-aware computing, design methodologies, evaluation metrics, and more
- Demonstrates how querying, data routing, and network self-organization can support high-level information-processing tasks
Table of contents
- Front Cover
- Wireless Sensor Networks: An Information Processing Approach
- Copyright Page
- Contents (1/3)
- Contents (2/3)
- Contents (3/3)
- Chapter 1. Introduction
-
Chapter 2. Canonical Roblem Localization and Tracking
- 2.1 A Tracking Scenario
- 2.2 Problem Formulation (1/3)
- 2.2 Problem Formulation (2/3)
- 2.2 Problem Formulation (3/3)
- 2.3 Distributed Representation and Inference of States (1/2)
- 2.3 Distributed Representation and Inference of States (2/2)
- 2.4 Tracking Multiple Objects (1/2)
- 2.4 Tracking Multiple Objects (2/2)
- 2.5 Sensor Models (1/2)
- 2.5 Sensor Models (2/2)
- 2.6 Performance Comparison and Metrics
- 2.7 Summary
-
Chapter 3. Networking Sensors
- 3.1 Key Assumptions
- 3.2 Medium Access Control
- 3.3 General Issues
- 3.4 Geographic, Energy-Aware Routing (1/5)
- 3.4 Geographic, Energy-Aware Routing (2/5)
- 3.4 Geographic, Energy-Aware Routing (3/5)
- 3.4 Geographic, Energy-Aware Routing (4/5)
- 3.4 Geographic, Energy-Aware Routing (5/5)
- 3.5 Attribute-Based Routing (1/2)
- 3.5 Attribute-Based Routing (2/2)
- 3.6 Summary
- Chapter 4. Infrastructure Establishment
-
Chapter 5. Sensor Tasking and Control
- 5.1 Task-Driven Sensing
- 5.2 Roles of Sensor Nodes and Utilities
- 5.3 Information-Based Sensor Tasking (1/5)
- 5.3 Information-Based Sensor Tasking (2/5)
- 5.3 Information-Based Sensor Tasking (3/5)
- 5.3 Information-Based Sensor Tasking (4/5)
- 5.3 Information-Based Sensor Tasking (5/5)
- 5.4 Joint Routing and Information Aggregation (1/4)
- 5.4 Joint Routing and Information Aggregation (2/4)
- 5.4 Joint Routing and Information Aggregation (3/4)
- 5.4 Joint Routing and Information Aggregation (4/4)
- 5.5 Summary
-
Chapter 6. Sensor Network Databases
- 6.1 Sensor Database Challenges
- 6.2 Querying the Physical Environment
- 6.3 Query Interfaces
- 6.4 High-Level Database Organization
- 6.5 In-Network Aggregation (1/2)
- 6.5 In-Network Aggregation (2/2)
- 6.6 Data-Centric Storage
- 6.7 Data Indices and Range Queries (1/2)
- 6.7 Data Indices and Range Queries (2/2)
- 6.8 Distributed Hierarchical Aggregation (1/2)
- 6.8 Distributed Hierarchical Aggregation (2/2)
- 6.9 Temporal Data
- 6.10 Summary
-
Chapter 7. Sensor Network Platforms and Tools
- 7.1 Sensor Node Hardware
- 7.2 Sensor Network Programming Challenges
- 7.3 Node-Level Software Platforms (1/4)
- 7.3 Node-Level Software Platforms (2/4)
- 7.3 Node-Level Software Platforms (3/4)
- 7.3 Node-Level Software Platforms (4/4)
- 7.4 Node-Level Simulators (1/2)
- 7.4 Node-Level Simulators (2/2)
- 7.5 Programming Beyond Individual Nodes State-Centric Programming (1/3)
- 7.5 Programming Beyond Individual Nodes State-Centric Programming (2/3)
- 7.5 Programming Beyond Individual Nodes State-Centric Programming (3/3)
- 7.6 Summary
- Chapter 8. Applications and Future Directions
- Appendix A. Optimal Estimator Design
- Appendix B. Particle Filter
- Appendix C. Information Utility Measures (1/2)
- Appendix C. Information Utility Measures (2/2)
- Appendix D. Sample Sensor Selection Criteria
- Bibliography (1/5)
- Bibliography (2/5)
- Bibliography (3/5)
- Bibliography (4/5)
- Bibliography (5/5)
- Index (1/3)
- Index (2/3)
- Index (3/3)
Product information
- Title: Wireless Sensor Networks
- Author(s):
- Release date: July 2004
- Publisher(s): Morgan Kaufmann
- ISBN: 9780080521725
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