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Biologically Inspired Networking and Sensing

Book Description

Despite their widespread impact, computer networks that provide the foundation for the World Wide Web and Internet have many limitations. These networks are vulnerable to security threats, break easily, and have a limited ability to respond to changing conditions. Recent research on overcoming these limitations has used biological systems for inspiration, resulting in the development of biologically-inspired computer networks. These networks are designed and developed using principles that are commonly found in natural and biological systems.Biologically Inspired Networking and Sensing: Algorithms and Architectures offers current perspectives and trends in biologically-inspired networking, exploring various approaches aimed at improving network paradigms. Research contained within this compendium of papers and surveys introduces studies in the fields of communication networks, performance modeling, and distributed computing, as well as new advances in networking.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. EDITORIAL ADVISORY BOARD
    2. LIST OF REVIEWERS
  5. Preface
    1. COMPARING BIOLOGICAL AND COMPUTER NETWORKS
    2. STRUCTURE OF THE BOOK
    3. WHO IS THE BOOK FOR?
    4. WHO IS THE BOOK NOT FOR?
  6. Acknowledgment
  7. Section 1: New Biologically Inspired Architectures
    1. Chapter 1: A Networking Paradigm Inspired by Cell Communication Mechanisms
      1. ABSTRACT
      2. INTRODUCTION
      3. MOLECULAR COMMUNICATION
      4. FUTURE RESEARCH DIRECTIONS
      5. CONCLUSION
    2. Chapter 2: Organic Network Control
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. THE ORGANIC NETWORK CONTROL SYSTEM
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    3. Chapter 3: Robust Network Services with Distributed Code Rewriting
      1. ABSTRACT
      2. INTRODUCTION
      3. CONTEXT AND RELATED WORK
      4. CHEMICAL NETWORKING PROTOCOLS
      5. CHEMICAL QUINES AND THEIR STABILITY
      6. DESIGN PATTERNS FOR A COOPERATIVE COUPLING OF QUINES
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    4. Chapter 4: Neural Networks in Cognitive Science
      1. ABSTRACT
      2. INTRODUCTION
      3. RECURRENT ASSOCIATIVE NETWORK MODELLING MCGURK EFFECT
      4. AUTO-ASSOCIATIVE NETWORK MODELLING STROOP EFFECT
      5. MODELLING STIMULI ASSOCIATION USING SPIKING NEURAL NETWORK (SNN)
    5. Chapter 5: The Dendritic Cell Algorithm for Intrusion Detection
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. APPLICATIONS OF AIS TO INTRUSION DETECTION
      5. THE DENDRITIC CELL ALGORITHM
      6. IMPROVEMENTS TO THE ORIGINAL DCA
      7. CONCLUSION AND FUTURE DIRECTIONS
  8. Section 2: Bio-Inspired Network Resource Optimization
    1. Chapter 6: TCP Symbiosis
      1. ABSTRACT
      2. INTRODUCTION AND RESEARCH BACKGROUND
      3. TCP SYMBIOSIS: BIO-INSPIRED CONGESTION CONTROL MECHANISM
      4. TCP SYMBIOSIS: BIO-INSPIRED CONGESTION CONTROL MECHANISM
      5. SIMULATION RESULTS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    2. Chapter 7: From Local Growth to Global Optimization in Insect Built Networks
      1. ABSTRACT
      2. ARE INSECT-MADE NET-LIKE STRUCTURES OPTIMAL?
      3. CONCLUSION
    3. Chapter 8: Network Energy Driven Wireless Sensor Networks
      1. ABSTRACT
      2. INTRODUCTION
      3. CONCLUSION
    4. Chapter 9: Congestion Control in Wireless Sensor Networks based on the Lotka Volterra Competition Model
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. WIRELESS SENSOR NETWORKS: AN ECOSYSTEM VIEW
      5. PERFORMANCE EVALUATION
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
  9. Section 3: Biologically Inspired Routing Protocols
    1. Chapter 10: Autonomously Evolving Communication Protocols
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ON-LINE EVOLUTION TO OPTIMIZE MULTI-HOP BROADCAST
      5. A GENETIC PROGRAMMING LANGUAGE FOR MULTI-HOP BROADCAST PROTOCOLS
      6. EVALUATION
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    2. Chapter 11: Application of Genetic Algorithms for Optimization of Anycast Routing in Delay and Disruption Tolerant Networks
      1. ABSTRACT
      2. INTRODUCTION
      3. PRELIMINARIES
      4. SYSTEM MODEL
      5. PROPOSED GA-BASED ANYCAST ROUTING ALGORITHM
      6. MODELING AND SIMULATION
      7. PERFORMANCE EVALUATION
      8. DISCUSSION
      9. FUTURE RESEARCH DIRECTIONS
      10. CONCLUSION
    3. Chapter 12: Data Highways
      1. ABSTRACT
      2. INTRODUCTION
      3. A BIO–INSPIRED APPROACH TO DATA HIGHWAYS FORMATION
      4. ROUTING FRAMEWORK DESCRIPTION
      5. SIMULATIONS AND NUMERICAL RESULTS
      6. CONCLUSION
    4. Chapter 13: Scented Node Protocol for MANET Routing
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FUTURE RESEARCH DIRECTIONS
      5. CONCLUSION
  10. Compilation of References
  11. About the Contributors