Learn the basics—and more—of nanoscale computation and communication in this emerging and interdisciplinary field
The field of nanoscale computation and communications systems is a thriving and interdisciplinary research area which has made enormous strides in recent years. A working knowledge of nanonetworks, their conceptual foundations, and their applications is an essential tool for the next generation of scientists and network engineers. Nanonetworks: The Future of Communication and Computation offers a thorough, accessible overview of this subject rooted in extensive research and teaching experience. Offering a concise and intelligible introduction to the key paradigms of nanoscale computation and communications, it promises to become a cornerstone of education in these fast-growing areas.
Readers will also find:
Detailed treatment of topics including network paradigms, machine learning, safety and security Coverage of the history, applications, and important theories of nanonetworks research Examples and use-cases for all formulas and equations
Nanonetworks is ideal for advanced undergraduate and graduate students in engineering and science, as well as practicing professionals looking for an introductory book to help them understand the foundations of nanonetwork systems.
By:
Florian-Lennert A. Lau (University of Lubeck Germany)
Imprint: Wiley-IEEE Press
Country of Publication: United States
Weight: 883g
ISBN: 9781394213108
ISBN 10: 1394213107
Pages: 384
Publication Date: 31 July 2024
Audience:
Professional and scholarly
,
Undergraduate
Format: Hardback
Publisher's Status: Active
List of Figures xiii List of Tables xvii About the Author xix Preface xxi Acknowledgments xxiii 1 Introduction 1 1.1 Etymology 1 1.2 Science Fiction 2 1.3 Nanotechnology Intuition 3 1.4 Example Applications 6 1.5 Unique Problems and Challenges 7 1.6 Summary 9 1.7 Chapter Overview 10 2 History13 2.1 Philosophy 13 2.2 Manufacturing Accuracy 16 2.3 State of the Art 24 2.4 Summary 29 3 Current and Future Applications 31 3.1 Nanotechnology in Materials and Industry 31 3.2 Medicine 33 3.3 Military 38 3.4 Agriculture and Geology 38 3.5 Future Developments 39 3.6 Summary 40 4 Construction 43 4.1 Construction Paradigms 43 4.2 Materials 44 4.3 Nanoparticles 49 4.4 Defining Complex Nanostructures 52 4.5 Nature Adaptation 66 4.6 Miniaturization 68 4.7 Self-assembly 69 4.8 DNA Errors 81 4.9 Error Correction Mechanisms 83 4.10 State of the Art of Miniature Structures and Devices 88 4.11 Simulation 94 4.12 Summary 97 5 Computation 99 5.1 State at the Nanoscale 99 5.2 Computation 101 5.3 Complexity Theory 102 5.4 Computational Analysis of Nanoscale Applications 105 5.5 Computational Models for the Nanoscale 111 5.6 Self-assembly Systems 123 5.7 Finding Programs for Nanodevices 137 5.8 Summary 144 6 Simple Communication 145 6.1 A Brief History of Communication 145 6.2 Definitions 148 6.3 Electromagnetic Communication 151 6.4 Molecular Communication 155 6.5 Acoustic Communication 159 6.6 Quantum Communication 161 6.7 FRET 162 6.8 Nanophotonics 163 6.9 Comparison 163 6.10 Multi-hop Communication 167 6.11 Communication and Network Simulators 173 6.12 Summary 175 7 Movement and Localization 177 7.1 Definition 177 7.2 Passive Movement 178 7.3 Active Movement 180 7.4 Localization 184 7.5 Simulation 191 7.6 Organs-on-Chips 197 7.7 Summary 198 8 Sensors and Actuators 199 8.1 Application Scenarios 199 8.2 Measuring Systems 200 8.3 Sensors 203 8.4 Actuators 205 8.5 Summary 210 9 Energy 211 9.1 Energy Sources 211 9.2 Storing Energy 213 9.3 Energy Harvesting and Generators 214 9.4 Saving Energy 219 9.5 Summary 227 10 Time and Randomness 229 10.1 Time 229 10.2 Synchronization 231 10.3 Logical Time 237 10.4 Consistency 238 10.5 Randomness 242 10.6 Summary 246 11 Safety and Security 247 11.1 Nanonetwork Safety Analysis 248 11.2 Attack Types 250 11.3 Securing Nanonetworks 254 11.4 Molecular and DNA-based Security 257 11.5 Summary 259 12 Nanonetwork Concepts and Architectures 261 12.1 From Macro to Nano 261 12.2 Nanonetwork Role Models 263 12.3 Nanonetworks 268 12.4 DNA-Based Nanonetworks 278 12.5 Verification Methods for Nanonetworks 299 12.6 Summary 306 13 Ethical, Legal, and Social Issues 309 13.1 The Process from Idea to Final Product 309 13.2 Environment 310 13.2.1 Biocompatibility 314 13.3 Waste Disposal 314 13.4 Politics and Legal Matters 316 13.5 Acceptance 318 13.6 Dangers and Fears 321 13.7 Summary 323 14 Conclusion 325 14.1 Summary 325 14.2 The Future and Visions of Nanonetworks 330 14.2.1 Near Future 330 14.2.2 Middle Future 331 14.2.3 Distant Future 332 14.3 Key Message 333 Bibliography 335 Index 357
Florian-Lennert A. Lau, PhD, MSc, obtained his MSc in 2016 and his PhD in 2020 from the Universität zu Lübeck, winning the KuVS award for the best Ph.D. thesis. He has been Head of the Nano Group since November 2021. His research interests cover self-assembly systems, nanonetworks, algorithmics, computational complexity theory, modelling human learning, human consciousness & logical inference systems, and distributed AI-systems.
