3rd International ICST Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks

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
E. Vicente1, V.E. Mujica1, D. Sisalem1, R. Popescu-Zeletin1
  • 1: Fraunhofer FOKUS Inst., Berlin, Germany

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.