Self-Organization in Sensor and Actor Networks
1. Auflage November 2007
386 Seiten, Hardcover
Praktikerbuch
Kurzbeschreibung
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. The book focuses on current research in the areas of autonomous systems, sensor networks, and bio-inspired communication methodologies.
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.
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
