|
Published Articles >> Table of Contents >> Abstract
Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt'05)
pp. 259-266
NEURAL: A Self-Organizing Routing Algorithm for Ad Hoc Networks
Vicente E. Mujica V, Fraunhofer FOKUS Institute
Dorgham Sisalem, Fraunhofer FOKUS Institute
Radu Popescu-Zeletin, Fraunhofer FOKUS Institute
Full Article Text:
  
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WIOPT.2005.32
Send link to a friend
| 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.
|
 Additional Information
|
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
|
|
