@article{519,
  author = {Saloua Chettibi, Salim Chikhi},
  title = {Adaptivity condition as the extended Reinforcement Learning for MANETs},
  journal = {Journal of Networking Technology},
  year = {2011},
  volume = {2},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jnt/fulltext/v2n3/4.pdf},
  abstract = {To design adaptive protocols for MANET, techniques from the field of artificial intelligence have been adopted. It is evidnet that the efficiency feature is incremental as the bandwidth and energy are scarce resources in MANETs. Moreover, adaptivity is crucial to achieve the routing task correctly in presence of varying network conditions in terms of mobility, links quality and traffic load. In our study we have used the extended application of Reinforcement Learning (RL) technique to achieve adaptive routing in MANETs},
}