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9781848826557

Optimal Observation for Cyber-Physical Systems

by ; ; ;
  • ISBN13:

    9781848826557

  • ISBN10:

    1848826559

  • Format: Hardcover
  • Copyright: 2009-09-10
  • Publisher: Springer Nature
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Summary

Cyber-physical systems (CPS) embody the interaction between a computing system and a physical process, being distinguished from traditional embedded systems by being designed as networks of interacting elements rather than as isolated devices. The wireless sensor networks (WSNs) which are the focus of the research presented here are examples of the application of CPS in monitoring some physical quantities of the environment and relaying the processed information to a central hub.Optimal Observation for Cyber-physical Systems addresses the challenge, fundamental to the design of WSNs, presented by the obligatory trade-off between precise estimates and system constraints. A unified theoretical framework, based on the well-established theory of optimal experimental design and providing consistent solutions to problems hitherto requiring a variety of approaches, is put forward to solve a large class of optimal observation problems. The Fisher information matrix plays a key role in this framework and makes it feasible to provide analytical solutions to some complex and important questions which could not be answered in the past.Optimal Observation for Cyber-physical Systems will be of interest to academic researchers in WSNs and to readers with an applied background in WSN implementation who will find most of the theoretical understanding of the key theory of optimal experimental design they need within this book. The use of multiple real-world examples to illustrate the theoretical parts of the book brings the subject into sharper focus than would an abstract theoretical disquisition. Researchers interested in convex optimization and in environmental monitoring and the estimation of diffusive pollution will also find the text of service.

Table of Contents

Abbreviations and Notationp. xv
Introductionp. 1
Motivation for the Bookp. 1
Challenges of Observation for Cyber-physical Systemsp. 1
Lessons Learned from Experiencep. 3
Summary of Contributionsp. 5
Organizationp. 5
A Short Overview of CPSsp. 6
The Conceptsp. 6
What Is a Sensor Network?p. 7
Introduction to WSNsp. 7
Applications of WSNsp. 9
Research, on WSNs from Different Aspectsp. 11
Motivation and Application Scenariosp. 14
Motivation and Scenarios for MAS-netp. 14
Scenarios for Sensor Selectionp. 18
Scenario for WSN-Based Localizationp. 20
Mathematical Backgroundp. 21
Mobile Sensor Trajectory Optimizationp. 27
Motivation and the Application Scenariop. 27
System Identification for DPSsp. 27
Problem Formulationp. 30
The Dynamic Model of Differentially Driven Robotsp. 30
The Model of the Diffusion Processp. 32
The Objective Function for Sensor Motion Schedulingp. 33
Problem Reformulation in the Optimal Control Frameworkp. 35
Finding a Numerical Solution for the Problemp. 36
A Brief Introduction to RIOTSp. 36
Using MATLAB“ PDE Toolbox Together with RIOTSp. 37
Illustrative Simulationsp. 38
Differentially Driven and Omnidirectionally Drivenp. 38
Comparison of Robots with Different Capabilitiesp. 41
On the Effect of the Initial Orientationp. 41
Chapter Summaryp. 43
Sensor Selection Methods for Cyber-physical Systemsp. 45
The Motivation and the Problemp. 45
Just-Enough Sensor Selection and the Solutionp. 46
Literature Reviewp. 46
Overview of Our Strategyp. 51
The Heuristic Sensor Selection Methodp. 53
Formulation of Heuristic Sensor Selectionp. 53
Pseudocode of the hCOSS Algorithmp. 61
Analysis of the hCOSS Algorithmp. 63
The Elimination-Based Sensor Selection Methodp. 75
Motivationp. 75
An Intuitive Interpretationp. 76
Problem Formulationp. 76
Convex Elimination Algorithmp. 78
Analysts of Convex Elimination Algorithmp. 79
Examplesp. 84
Pseudocode of the eCOSS Algorithmp. 90
Simulationsp. 92
Overviewp. 92
Case 1p. 96
Case 2p. 96
Case 3p. 98
Case 4p. 99
Case 5p. 99
Hardware Experimentsp. 100
Discussionp. 114
Remarks on the Speed and Memory Requirementsp. 114
Comments on Non-Gaussian Noisep. 115
Relationships with Geometric Approachesp. 116
Entropy-Based Methodp. 121
Discussion of Correlations of Sensor Datap. 122
Comments on Networkingp. 125
Chapter Summaryp. 127
Design of Localization Systems for Wireless Sensor Networksp. 129
The Motivation and the Research Problemp. 129
Localization Hardwarep. 129
Received Signal Strength Indicatorp. 129
Angle of Arrivalp. 130
Acoustic TOFp. 130
RF TOF Measurementp. 130
The Proposed Phase-Based Localization Methodp. 132
Review of TDOA Localization Algorithmsp. 132
Problem Formulationp. 334
Beacon Placement Optimizationp. 140
Application Scenariosp. 140
Problem Formulationp. 141
Solution and Simulationp. 143
Chapter Summaryp. 150
Conclusions and Future Workp. 155
Conclusionsp. 153
Future Workp. 152
Implementationsp. 153
Simulation of Trajectory Optimizationp. 153
Sensor Selection Demonstration Systemp. 157
Referencep. 159
Indexp. 169
Table of Contents provided by Ingram. All Rights Reserved.

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