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 routing,data-centric networking, synchronization, and task allocationissues.
* Introduction to swarm intelligence, artificial immune system,molecular 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.
Dressler
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Dr. Falko Dressler is Assistant Professor at the Department of Computer Sciences, University of Erlangen, Germany and, since 2004, Head of the Autonomic Networking Group. He has made many contributions in the area of quality of service in communication networks (IP, multicast, sensor networks), network security (intrusion detection, high-speed monitoring, IP traceback), ad hoc wireless sensor networks (communication paradigms, congestion control), and bio-inspired networking (lessons learnt from molecular biology to be adapted to communication networks). His areas of expertise include distributed systems and communication networks, self-organizing autonomous sensor/actuator networks and bio-inspired networking.