Research Article
NEURAL: a self-organizing routing algorithm for ad hoc networks
@INPROCEEDINGS{10.1109/WIOPT.2005.32, author={E. Vicente and V.E. Mujica and D. Sisalem and R. Popescu-Zeletin}, title={NEURAL: a self-organizing routing algorithm for ad hoc networks}, proceedings={3rd International ICST Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks}, publisher={IEEE}, proceedings_a={WIOPT}, year={2005}, month={4}, keywords={}, doi={10.1109/WIOPT.2005.32} }- E. Vicente
V.E. Mujica
D. Sisalem
R. Popescu-Zeletin
Year: 2005
NEURAL: a self-organizing routing algorithm for ad hoc networks
WIOPT
IEEE
DOI: 10.1109/WIOPT.2005.32
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.
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