Falko Dressler

Self-Organization in Sensor and Actor Networks (eBook, PDF)

• Format: PDF

Produktbeschreibung

Self-Organization in Sensor and Actor Networks explores self-organization mechanisms and methodologies concerning the efficient coordination between intercommunicating autonomous systems.Self-organization is often referred to as the multitude of algorithms and methods that organise the global behaviour of a system based on inter-system communication. Studies of self-organization in natural systems first took off in the 1960s. In technology, such approaches have become a hot research topic over the last 4-5 years with emphasis upon management and control in communication networks, and especially in resource-constrained sensor and actor networks. In the area of ad hoc networks new solutions have been discovered that imitate the properties of self-organization. Some algorithms for on-demand communication and coordination, including data-centric networking, are well-known examples. Key features include: * Detailed treatment of self-organization, mobile sensor and actor networks, coordination between autonomous systems, and bio-inspired networking. * Overview of the basic methodologies for self-organization, a comparison to central and hierarchical control, and classification of algorithms and techniques in sensor and actor networks. * Explanation of medium access control, ad hoc routing, data-centric networking, synchronization, and task allocation issues. * Introduction to swarm intelligence, artificial immune system, molecular information exchange. * Numerous examples and application scenarios to illustrate the theory. Self-Organization in Sensor and Actor Networks will prove essential reading for students of computer science and related fields; researchers working in the area of massively distributed systems, sensor networks, self-organization, and bio-inspired networking will also find this reference useful.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 386
• Erscheinungstermin: 30. Mai 2008
• Englisch
• ISBN-13: 9780470724453
• Artikelnr.: 37299221

Autorenporträt

Dr. Falko Dressler is Assistant Professor at the Department of Computer Sciences, University of Erlangen, Germany and, since 2004, Head of the Autonomic Networking Group. He has made many contributions in the area of quality of service in communication networks (IP, multicast, sensor networks), network security (intrusion detection, high-speed monitoring, IP traceback), ad hoc wireless sensor networks (communication paradigms, congestion control), and bio-inspired networking (lessons learnt from molecular biology to be adapted to communication networks). His areas of expertise include distributed systems and communication networks, self-organizing autonomous sensor/actuator networks and bio-inspired networking.

Inhaltsangabe

Contents Preface I Self-Organization 1 Introduction to Self-Organization
1.1 Understanding self-organization 1.2 Application scenarios for
self-organization 2 System Management and Control - A Historical Overview
2.1 System architecture 2.2 Management and control 3 Self-Organization -
Context and Capabilities 3.1 Complex systems 3.2 Self-organization and
emergence 3.3 Systems lacking self-organization 3.4 Self-X capabilities 3.5
Consequences of emergent properties 3.6 Operating self-organizing systems
3.7 Limitations of self-organization 4 Natural Self-Organization 4.1
Development of understandings 4.2 Examples in natural sciences 4.3
Differentiation self-organization and bio-inspired 5 Self-Organization in
Technical Systems 5.1 General applicability 5.2 Operating Sensor and Actor
Networks 6 Methods and Techniques 6.1 Basic methods 6.2 Design paradigms
for self-organization 6.3 Developing nature-inspired self-organizing
systems 6.4 Modeling self-organizing systems 7 Self-Organization - Further
Reading II Networking Aspects: Ad Hoc and Sensor Networks 8 Mobile Ad Hoc
and Sensor Networks 8.1 Ad hoc networks 8.2 Wireless Sensor Networks 8.3
Challenges and research issues 9 Self-Organization in Sensor Networks 9.1
Properties and objectives 9.2 Categorization in two dimensions 9.3 Methods
and application examples 10 Medium Access Control 10.1 Contention-based
protocols 10.2 Sensor MAC 10.3 Power-Control MAC protocol 10.4 Conclusion
11 Ad Hoc Routing 11.1 Overview and categorization 11.2 Principles of ad
hoc routing protocols 11.3 Optimized route stability 11.4 Dynamic address
assignment 11.5 Conclusion 12 Data-Centric Networking 12.1 Overview and
classification 12.2 Flooding, gossiping, and optimizations 12.3 Agent-based
techniques 12.4 Directed diffusion 12.5 Data aggregation 12.6 Conclusion 13
Clustering 13.1 Principles of clustering 13.2 Clustering for efficient
routing 13.3 Conclusion 14 Networking Aspects - Further reading III
Coordination and Control: Sensor and Actor Networks 15 Sensor and Actor
Networks 15.1 Introduction 15.2 Challenges and research objectives 15.3
Limitations 16 Communication and Coordination 16.1 Synchronization vs.
coordination 16.2 Time synchronization in WSNs and SANETs 16.3 Distributed
coordination 16.4 In-network operation and control 16.5 Conclusion 17
Collaboration and Task Allocation 17.1 Introduction to MRTA 17.2
Intentional cooperation - auction-based task allocation 17.3 Emergent
cooperation 17.4 Conclusion 18 Coordination and Control - Further reading
IV Self-Organization Methods in Sensor and Actor Networks 19
Self-Organization Methods - Revisited 19.1 Self-organization methods in
SANETs 19.2 Positive and negative feedback 19.3 Interactions among
individuals and with the environment 19.4 Probabilistic techniques 20
Evaluation Criteria 20.1 Scalability 20.2 Energy considerations 20.3
Network lifetime V Bio-inspired Networking 21 Bio-inspired Systems 21.1
Introduction and overview 21.2 Swarm Intelligence 21.3 Artificial Immune
System 21.4 Cellular signaling pathways 21.5 Conclusion 22 Bio-inspired
Networking - Further reading Bibliography