1 Introduction 1.1 Distributed Fusion Estimation for Sensor Networks 1.2 Book Organization References
2 Multi-rate Kalman Fusion Estimation for WSNs 2.1 Introduction 2.2 Problem Statement . Two-Stage Distributed Estimation ..1 Local Kalman Estimators ..2 Distributed Fusion Estimation 2.4 Simulations 2.5 Conclusions References
3 Kalman Fusion Estimation for WSNs with Nonuniform Estimation Rates 3.1 Introduction 3.2 Problem Statement 3.3 Modeling of the Estimation System 3.4 Design of the Fusion Estimators (Type I) 3.4.1 Design of Local Estimators 3.4.2 Design of the Fusion Rule 3.5 Design of the Fusion Estimators (Type II) 3.5.1 EstimatorDesign 3.5.2 Convergence of the Estimator 3.6 Simulations 3.7 Conclusions References
4 Hoo Fusion Estimation for WSNs with Nonuniform Sampling Rates 4.1 Introduction 4.2 Problem Statement 4.3 Hoo Performance Analysis 4.4 Hoo Filter Design 4.5 Simulations 4.6 Conclusions References
5 Fusion Estimation for WSNs Using Dimension-Reduction Method 5.1 Introduction 5.2 Problem Statement 5.2.1 SystemModels 5.2.2 Problem oflnterests 5.3 Design of Finite-Horizon Fusion Estimator 5.3.1 Compensating Strategy 5.3.2 Design of Finite-Horizon Fusion Estimator 5.4 Boundness Analysis ofthe Fusion Estimator 5.5 Simulations 5.5.1 Bandwidth Constraint Case 5.5.2 Energy Constraint Case 5.5.3 Bandwidth and Energy Constraints Case 5.6 Conclusions References
6 Hoo Fusion Estimation for WSNs with ntization 6.1 Introduction 6.2 Problem Statement 6.3 Distributed Hoo Fusion Estimator Design 6.4 Simulations 6.5 Conclusions References
8 Fusion Estimation for WSNs with Delayed Measurements 8.1 Introduction 8.2 Problem Statement 8.3 Preliminary Results 8.4 Robust Information Fusion Kalman Estimator …… 9 Fusion Estimation for WSNs with Delays and Packet Losses Index