Self-Organization in Sensor and Actor Networks

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.

Self-Organization in Sensor and Actor Networks exploresself-organization mechanisms and methodologies concerning theefficient coordination between intercommunicating autonomoussystems.Self-organization is often referred to as the multitude ofalgorithms and methods that organise the global behaviour of asystem based on inter-system communication. Studies ofself-organization in natural systems first took off in the 1960s.In technology, such approaches have become a hot research topicover the last 4-5 years with emphasis upon management and controlin communication networks, and especially in resource-constrainedsensor and actor networks. In the area of ad hoc networks newsolutions have been discovered that imitate the properties ofself-organization. Some algorithms for on-demand communication andcoordination, including data-centric networking, are well-knownexamples.Key features include:* Detailed treatment of self-organization, mobile sensor andactor networks, coordination between autonomous systems, andbio-inspired networking.* Overview of the basic methodologies for self-organization, acomparison to central and hierarchical control, and classificationof algorithms and techniques in sensor and actor networks.* Explanation of medium access control, ad hoc routingdata-centric networking, synchronization, and task allocationissues.* Introduction to swarm intelligence, artificial immune systemmolecular information exchange.* Numerous examples and application scenarios to illustrate thetheory.Self-Organization in Sensor and Actor Networks will proveessential reading for students of computer science and relatedfields; researchers working in the area of massively distributedsystems, sensor networks, self-organization, and bio-inspirednetworking will also find this reference useful.