Self-Organization in Sensor and Actor NetworksISBN: 978-0-470-02820-9
Hardcover
386 pages
December 2007
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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.