Wireless Sensor Networks: An Information Processing ApproachElsevier, 2004 M07 21 - 376 pages 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.
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Contents
| 1 | |
| 23 | |
Chapter 3 Networking Sensors | 63 |
Chapter 4 Infrastructure Establishment | 103 |
Chapter 5 Sensor Tasking and Control | 135 |
Chapter 6 Sensor Network Databases | 189 |
Chapter 7 Sensor Network Platforms and Tools | 239 |
Chapter 8 Applications and Future Directions | 291 |
Appendix A Optimal Estimator Design | 307 |
Appendix B Particle Filter | 309 |
Appendix C Information Utility Measures | 313 |
Appendix D Sample Sensor Selection Criteria | 321 |
Bibliography | 323 |
| 347 | |
Other editions - View all
Wireless Sensor Networks: An Information Processing Approach Feng Zhao,Leonidas J. Guibas Limited preview - 2004 |
Wireless Sensor Networks: An Information Processing Approach Feng Zhao,Leonidas J. Guibas No preview available - 2004 |
Common terms and phrases
ACM Press aggregation algorithm assume Bayesian belief broadcast Chapter clock cluster-head collaborative communication component cost covariance Delaunay triangulation detection directed diffusion discussed distance distributed dynamic embedded embedded systems energy estimate event example GADT Gaussian geographic global GPSR graph hardware hash identity management IEEE implementation in-network information processing information utility interface k-d tree Kalman filter landmarks layers leader node likelihood function localization location server Mahalanobis distance method MobiCom Mobile Computing monitoring motes multiple mutual information neighbors nesC objective function optimal packet path physical port agents position principal Proc programming propagation protocols query processing radio region routing S-MAC Section sensing sensor data sensor measurements sensor nodes sensor selection sensor tasking signal processing simulation space spatial storage stored synchronization target techniques TinyDB TinyGALS TinyOS tion topology tracking problem tree typically uncertainty update variable wireless sensor networks