Self-Organization in Sensor and Actor NetworksSelf-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:
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. |
Contents
1 | |
II Networking Aspects Ad Hoc and Sensor Networks | 65 |
III Coordination and Control Sensor and Actor Networks | 203 |
IV SelfOrganization Methods in Sensor and Actor Networks | 273 |
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Common terms and phrases
according ad hoc networks Additionally address-based agents Akyildiz algorithms AODV application scenarios approaches Artificial Immune System autonomous base station basic bio-inspired broadcast clusterhead clustering communication complex Computing context coordination coverage data aggregation data messages data packet data-centric networking depicted in Figure destination detection discussed domain DSDV DYMO dynamic efficient energy environment example exploited flooding global hoc and sensor hoc networks hoc routing IEEE immune system in-network INFOCOM interactions MANETs measure mechanisms Mobile Ad Hoc mobile robots MRTA multi-robot multiple neighboring nodes network lifetime network topology optimization overhead paradigms parameters particular path perform probabilistic problem random received rely requirements robot systems routing information routing protocols routing tables RREQ RTS/CTS S-MAC SANETs scalability scheme Self-Organization in Sensor self-organizing systems Sensor and Actor sensor nodes signaling solutions specific stigmergy Swarm Intelligence synchronization task allocation techniques transmission typical update Wireless Networks Wireless Sensor Networks WSNs