Self-Organization in Sensor and Actor Networks

Informationen zum Autor 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. Klappentext 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 Networkswill 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. Zusammenfassung Self-organization in Sensor and Actor Networks describes and discusses mechanisms and methodologies concerning the efficient coordination of intercommunicating autonomous systems, with specific emphasis on technologies for wireless sensor networks. The author surveys research issues and analyze them based on different aspects. Inhaltsverzeichnis Foreword.   Preface. About the Author. List of Abbreviations.   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. 2.2.1 Centralized control. 2.2.2 Distributed systems. 2.2.3 Self-organizing systems. 3 Self-Organization - Context and Capabilities. 3.1 Complex systems. 3.2 Self-organization and emergence. 3.3 Systems lacking self-organization. 3.3.1 External control. 3.3.2 Blueprints and templates. 3.4 Self-X capabilities. 3.5 Consequences of emergent properties. 3.6 Operating self-organizing systems. 3.6.1 Asimov's Laws of Robotics. 3.6.2 Attractors.

List of contents

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
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Product details

• Authors: Falko Dressler, Falko (University of Erlangen) Dressler, Dressler Falko
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 16.11.2007
• EAN: 9780470028209
• ISBN: 978-0-470-02820-9
• No. of pages: 386
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Informatik, Netzwerke, Netzwerk, Networking, computer science, drahtlose kommunikation, Kommunikationsnetze, Mobile & Wireless Communications, Electrical & Electronics Engineering, Elektrotechnik u. Elektronik, Communication Technology - Networks, Kommunikationsnetz