Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt'05) NEURAL: A Self-Organizing Routing Algorithm for Ad Hoc Networks Riva del Garda, Trentino, Italy April 04-April 06 ISBN: 0-7695-2267-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WIOPT.2005.32
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.
Citation:
Vicente E. Mujica V, Dorgham Sisalem, Radu Popescu-Zeletin, "NEURAL: A Self-Organizing Routing Algorithm for Ad Hoc Networks," wiopt, pp.259-266, Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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