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Table of contents
1 General Introduction
1.1 Wireless Sensor Networks
1.2 Applications
1.2.1 Military applications
1.2.2 Environmental applications
1.2.3 Health Applications
1.2.4 PODS Project
1.3 WSN Services
1.3.1 Time Synchronization
1.3.2 Location Discovery
1.3.3 Data Aggregation
1.3.4 Data Storage
1.3.5 Topology Management and Message Routing
1.4 Sensor Operating Systems
1.5 Thesis Outline
2 Location Estimation Methods
2.1 Introduction
2.2 RSS-Based Locationing Algorithms
2.2.1 RSSI-Based Location Estimation Using Trilateration
2.2.2 Location Estimation Based on Location Fingerprinting
2.2.3 Cooperative Location Estimation
2.2.4 Ad Hoc Positioning System
2.3 Angle-of-Arrival Based Algorithms
2.4 Time-Based Algorithms
2.4.1 APS Using AoA
2.5 Conclusion
3 Detection of Measurement Errors
3.1 Introduction
3.2 Related works
3.3 WSN modeling
3.3.1 Communication model
3.3.2 Fault model
3.4 Fault detection
3.5 TSK fuzzy treatment
3.6 Neural network treatment
3.7 Implementation of the proposed fault detection approach
3.8 Simulation results
3.8.1 Transient fault tolerance
3.8.2 Recurrent FIS Treatment
3.9 Conclusion
4 Localization
4.1 Introduction
4.2 RelatedWorks
4.3 Formulation Of The Problem
4.3.1 System Model
4.3.2 Communication Model
4.4 Proposed Approach
4.4.1 Finding the Topology
4.4.2 Symmetry, Orientation and Position of the Topology
4.5 Working Example
4.6 Simulation Results
4.6.1 Computational complexity
4.6.2 Time complexity
4.6.3 Scalability with bounded error in measurements
4.7 Conclusion
5 Signal Strength Loss Compensation
5.1 Introduction
5.2 Problem Formulation
5.3 Presentation of the solution
5.4 Simulation Results
5.5 Treatment through Neural Network
5.6 Conclusion
6 Conclusion and Future Perspectives
6.1 Conclusion
6.2 Perspectives
References
