Self-Organization in Sensor and Actor Networks

內容描述

Description
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.