Self-Organization in Sensor and Actor Networks

• Main Author: Dressler, Falko
• Format: eBook Book
• Language: English
• Published: Chichester Wiley 2007; John Wiley & Sons, Incorporated; Wiley-Blackwell
• Edition: 1
• Subjects: Biologically-inspired computing; Communication, Networking and Broadcast Technologies; Components, Circuits, Devices and Systems; Computer networks; Computer networks > Management > Data processing; Computing and Processing; Data processing; Management; Self-organizing systems; Sensor networks
• ISBN: 9780470028209; 0470028203; 9780470724460; 0470724463
• DOI: 10.1002/9780470724460

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.