Publica
Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten. NEURAL: A self-organizing routing algorithm for ad hoc networks
| Altman, E. ; Center for Research and Telecommunication Experimentation for Networked Communities, Trento; Institut National de Recherche en Informatique et en Automatique -INRIA-, Le Chesnay:
WiOpt 05, Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks : 4 - 6 April 2005, Riva del Garda, Trentino, Italy ; proceedings
Piscataway: IEEE Computer Society, 2005
ISBN: 0-7695-2267-X
pp.259-266 |
| International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) <3, 2005, Riva del Garda> |
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| English |
| Conference Paper |
| Fraunhofer FOKUS () |
Abstract
This paper evaluates a self-organizing routing protocol for ad hoc network, called the neuron routing algorithm (NEURAL). NEURAL has been designed taking into account the learning and self-organizing abilities of the brain. More precisely, it was inspired by the synapses process between neurons, when a signal is propagated. Basically, the most significant characteristic of NEURAL is the uniform distribution of the information around the node's location based on the current changes in its neighborhood. Using a 2-hop acknowledgment mechanism, local information is monitored in order to be used for route selection method, classification procedures and learning algorithms.