
Nanoscale Communication Networks
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Content
- Nanoscale Communication Networks
- Contents
- Preface
- OBJECTIVE
- GENESIS
- APPROACH AND CONTENT
- Acknowledgments
- Chapter 1 Towards Nanonetworks
- 1.1 BRIEF HISTORICAL CONTEXT
- 1.2 NANOROBOTICS
- 1.3 DEFINITION OF NANONETWORKS
- 1.3.1 Requirements to be a nanonetwork
- 1.3.2 Driving forces behind nanoscale networking
- 1.3.3 Defined in relation to sensor networks
- 1.4 REVIEW OF NANOTECHNOLOGY RELATED TO COMMUNICATIONS
- 1.4.1 Nanotechnology for high-frequency classical wireless transmission
- 1.4.2 System-on-chip
- 1.5 TODAY'S SENSOR NETWORKS
- 1.5.1 Wireless sensor networks
- 1.5.2 Antenna
- 1.6 RELATIONSHIP BETWEEN PHYSICS AND INFORMATION
- 1.6.1 Physical entropy
- 1.6.2 Thermodynamics
- 1.6.3 Physics of information
- 1.6.4 A brief introduction to quantum phenomena
- 1.7 NEED FOR SELF-ASSEMBLY
- 1.7.1 Self-assembly for nanotube alignment
- 1.7.2 Self-assembly, complexity, and information theory
- 1.7.3 Active networking at the nanoscale
- 1.8 NEED FOR NANOSCALE INFORMATION THEORY
- 1.8.1 Capacity of networks
- 1.9 SUMMARY
- 1.10 EXERCISES
- Chapter 2 Molecular Motor Communication
- 2.1 MOLECULAR MOTORS ON RAILS
- 2.1.1 Where molecular motors are found and used in nature
- 2.1.2 Random walk and Brownian motion
- 2.1.3 Molecular motor operation: The mechanics of walking
- 2.2 THERMODYNAMICS OF MOLECULAR MOTORS
- 2.3 MICROTUBULES
- 2.3.1 Topology and persistence length
- 2.3.2 Towards routing and the ability to steer molecular motors
- 2.4 INTERFACING WITH MOLECULAR MOTORS
- 2.5 MOTOR VELOCITY, RELIABILITY, AND BANDWIDTH-DELAY PRODUCT
- 2.5.1 Automatic repeat request and reliable molecular motor communication channels
- 2.5.2 Genetic communication and error correction
- 2.6 INFORMATION THEORY AND MOLECULAR MOTOR PAYLOAD CAPACITY
- 2.6.1 Payload and information capacity
- 2.6.2 DNA computing for nanoscale communication
- 2.7 OTHER TYPES OF MOTORS
- 2.7.1 Flagellar motors
- 2.7.2 Synthetic DNA motors
- 2.7.3 Catalytic motors
- 2.8 SUMMARY
- 2.9 EXERCISES
- Chapter 3 Gap Junction and Cell Signaling
- 3.1 INTRODUCTION
- 3.1.1 Calcium signaling in nature
- 3.1.2 Gap junction signaling
- 3.1.3 Intercell signaling
- 3.1.4 Long-distance nanoscale biological signaling
- 3.2 GAP JUNCTIONS
- 3.2.1 Liposomes: artificial containers
- 3.3 CELL SIGNALING
- 3.3.1 Network coding
- 3.4 MODELING BIOLOGICAL SIGNAL PROPAGATION AND DIFFUSION
- 3.4.1 Information concentration and propagation distance
- 3.4.2 Calcium waves
- 3.4.3 Calcium stores and relays
- 3.4.4 Gene and metabolic communication networks
- 3.5 OLFACTORY AND OTHER BIOLOGICAL COMMUNICATION
- 3.5.1 Memristors
- 3.5.2 Quorum sensing
- 3.5.3 Pheromone communication models and analysis
- 3.5.4 Neuronal communication
- 3.6 INFORMATION THEORETIC ASPECTS
- 3.6.1 Stochastic resonance
- 3.6.2 Towards human-engineered nanoscale biological communication networks
- 3.7 SUMMARY
- 3.8 EXERCISES
- Chapter 4 Carbon Nanotube-Based Nanonetworks
- 4.1 INTRODUCTION
- 4.1.1 Comparison with microtubules
- 4.1.2 Nanotubes and biology
- 4.2 NANOTUBES AS FIELD EFFECT TRANSISTORS
- 4.2.1 Electron transport
- 4.3 NANOTUBES AND QUANTUM COMPUTING
- 4.4 A SINGLE CARBON NANOTUBE RADIO
- 4.5 NANOTUBES AND GRAPH THEORY
- 4.5.1 Eigensystem network analysis
- 4.6 NANOTUBES AND SELF-ASSEMBLY
- 4.6.1 Active networking
- 4.6.2 Nanoscale active networking and routing
- 4.7 SEMIRANDOM CARBON NANOTUBE NETWORKS
- 4.7.1 Characteristics of a semirandom nanotube network
- 4.7.2 Data transmission in a semirandom nanotube network
- 4.7.3 Routing in a semirandom nanotube network
- 4.8 SUMMARY
- 4.9 EXERCISES
- Chapter 5 Nanoscale Quantum Networking
- 5.1 INTRODUCTION
- 5.1.1 The nature of quantum networks
- 5.1.2 Forms of quantum networking
- 5.2 PRIMER ON QUANTUM COMPUTATION
- 5.2.1 What is quantum mechanics?
- 5.2.2 The nature of qubits
- 5.2.3 Postulate one
- 5.2.4 Postulate two
- 5.2.5 Measuring a qubit
- 5.2.6 Postulate three
- 5.2.7 Postulate four
- 5.2.8 The tensor product
- 5.3 QUANTUM ENTANGLEMENT
- 5.3.1 Superdense coding
- 5.3.2 Measurement of composite quantum states
- 5.3.3 The Bell inequality
- 5.3.4 Quantum cryptography example
- 5.4 TELEPORTATION
- 5.4.1 The spectral theorem
- 5.4.2 An alternative form of postulate two
- 5.4.3 Building a quantum communication network
- 5.4.4 Sharing entanglement in a quantum network
- 5.4.5 Quantum wire
- 5.5 SUMMARY
- 5.6 EXERCISES
- Chapter 6 Information Theory and Nanonetworks
- 6.1 INFORMATION THEORY PRIMER
- 6.1.1 Compression and the nature of information
- 6.1.2 Basic properties of entropy
- 6.1.3 Reliable communication in the presence of noise
- 6.1.4 Shannon versus Kolmogorov: Algorithmic information theory
- 6.1.5 Minimum description length and sophistication
- 6.2 QUANTUM INFORMATION THEORY
- 6.2.1 Quantum information
- 6.2.2 The limits of accessible information in a network
- 6.3 A FEW WORDS ON SELF-ASSEMBLY AND SELF-ORGANIZING SYSTEMS
- 6.3.1 Random nanotube networks, carbon nanotube radios, and information theory
- 6.4 MOLECULAR COMMUNICATION THEORY
- 6.4.1 Brownian motion and order statistics
- 6.4.2 Concentration encoding
- 6.4.3 A single nanoscale molecular channel
- 6.4.4 A multiple-access nanoscale molecular channel
- 6.4.5 A broadcast nanoscale molecular channel
- 6.4.6 A relay nanoscale molecular channel
- 6.5 SUMMARY
- 6.6 EXERCISES
- Chapter 7 Architectural Questions
- 7.1 INTRODUCTION
- 7.1.1 The definition of an architecture
- 7.2 ARCHITECTURAL PROPERTIES DERIVED FROM A FINITE AUTOMATA MODEL
- 7.3 APPLYING LESSONS FROM OUTER SPACE TO INNER SPACE
- 7.3.1 Routing with Brownian motion
- 7.3.2 Localization in outer space
- 7.3.3 Localization in inner space
- 7.4 ARCHITECTURE OF EXTANT IN VIVO WIRELESS SYSTEMS
- 7.5 ACTIVE NETWORK ARCHITECTURE
- 7.5.1 The active network framework
- 7.5.2 Properties of execution environments
- 7.5.3 Active networks and self-healing
- 7.5.4 Complexity and evolutionary control
- 7.5.5 The application of a complexity measure in a communication network
- 7.5.6 Genetic network programming architecture
- 7.6 CARBON NANOTUBE NETWORK ARCHITECTURES
- 7.6.1 Random carbon nanotube network architecture
- 7.6.2 Single carbon nanotube radio architecture
- 7.7 THE QUANTUM NETWORK ARCHITECTURE
- 7.7.1 Quantum entanglement purification
- 7.7.2 Quantum network architecture
- 7.8 SUMMARY
- 7.9 EXERCISES
- Chapter 8 Conclusion
- 8.1 OLFACTORY COMMUNICATION
- 8.1.1 Towards odor communication
- 8.1.2 The odor receiver: The electronic nose
- 8.1.3 Pheromone impulse response
- 8.1.4 Towards an olfactory transmitter
- 8.2 AN INTERNET OF NANOSCALE NETWORKS
- 8.3 OPTICAL TRANSMISSION WITHIN NANOSCALE NETWORKS
- 8.3.1 Fluorescence resonance energy transfer
- 8.3.2 Electroluminescence
- 8.3.3 Molecular switches
- 8.4 INTERNETWORKING NANOSCALE NETWORKS
- 8.4.1 The design of an in vivo nanoscale network
- 8.5 NANOSCALE NETWORK APPLICATIONS
- 8.6 THE FUTURE OF NANONETWORKS
- 8.6.1 The IEEE Nano-Scale, Molecular, and Quantum Networking Subcommittee
- 8.7 EXERCISES
- Appendix: Nanoscale and Molecular Communication Network Simulation Tools
- MOLECULAR NETWORK SIMULATOR
- NETWORK-ON-CHIP SIMULATIONS
- CARBON NANOTUBE SIMULATION TOOLS
- BIOCHEMICAL SIMULATORS
- QUANTUM SIMULATION FOR NANOSCALE AND MOLECULAR NETWORKS
- SELF-ASSEMBLY SIMULATORS
- References
- About the Author
- Index
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