Inductively Coupled Microsensor Networks
Eric Nathan Slottke
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Eric Nathan Slottke, Inductively Coupled Microsensor Networks (2016), Logos Verlag, Berlin, ISBN: 9783832591670
Beschreibung / Abstract
In this thesis, we study a novel paradigm for wireless sensor networks: we envision a dense microsensor network, consisting of hundreds or thousands of highly miniaturized wireless nodes with millimeter or sub-millimeter dimensions. Such a microsensor network has many interesting applications ranging from in vivo medical sensing to environmental monitoring. However, the design and operation of the envisioned type of network are challenging: the large number of nodes, in combination with the small form factor, imposes severe constraints on both node complexity as well as power consumption. We propose using inductive near-field coupling as advantageous physical layer choice, allowing an RFID-like operation of the network with wireless power supply from central reader devices and low-complexity tag design. Our primary goals for inductively coupled microsensors are twofold: we want to enable reliable communication to and between sensor nodes, and perform accurate localization of individual sensors. Both tasks are affected by the central limitation of a physical layer based on near-field coupling: the severely limited range of interaction. We will show throughout this thesis that the use of wireless relaying allows for overcoming this limitation.
Inhaltsverzeichnis
- BEGINN
- 1 Inductively Coupled Microsensor Networks
- 1.1 The Paradigm of Microsensor Networks
- 1.2 Inductively Coupled Microsensor Networks
- 1.3 Contributions and Outline
- 2 A Primer in Linear N-port Network Theory
- 2.1 N-port Networks
- 2.2 Port Reduction
- 2.3 Networks with Internal Sources
- 2.4 Noisy Networks
- 2.5 Time-Variant Networks
- 3 Inductive Coupling as Physical Layer
- 3.1 Inductive Coupling
- 3.2 Circuit Theoretic System Description
- 3.3 Descriptive Limitations and Approximations
- 3.4 Scaling Behavior of Miniaturized Inductively Coupled Networks
- 4 Range Extension by Relaying
- 4.1 Classical Relaying
- 4.2 Relaying in Inductively Coupled Networks
- 4.3 Range Extension Using Passive Relays
- 4.4 Position and Load Optimization of Passive Relays
- 4.5 Conclusions
- 5 Wireless Artificial Neural Networks
- 5.1 The Paradigm of Wireless Artificial Neural Networks
- 5.2 System Model of Wireless Artificial Neural Networks
- 5.3 Wireless ANN Behavior in Additive Noise
- 5.4 Iterative Gain Allocation with Reduced Feedback
- 5.5 Application of Wireless ANNs to Inductively Coupled Sensor Networks
- 5.6 Conclusions
- 6 Circuit Based Localization Using Multiple Anchors
- 6.1 Wireless Localization Systems
- 6.2 Principles of Circuit Based Localization
- 6.3 Numerical Performance Evaluation
- 6.4 Suboptimal Localization in 3D Space
- 6.5 Conclusions
- 7 Single-Port Localization Systems
- 7.1 System Model for Single-Port Localization
- 7.2 Single-Port Localization Using Passive Anchors
- 7.3 Joint Decoding and Localization
- 7.4 Conclusions
- 8 Practical Verification of Localization in Imperfect Environments
- 8.1 Anchor and Agent Node Design
- 8.2 Measurement System
- 8.3 Circuit Calibration
- 8.4 Drift Autocalibration
- 8.5 Measurement Results
- 8.6 Conclusions
- 9 Summary and Conclusions