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A learning automata-based method for estimating the mobility model of nodes in Mobile Ad-hoc Networks

Jamalian, A. H ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/COGINF.2008.4639175
  3. Publisher: 2008
  4. Abstract:
  5. The mobility model of typical Mobile Ad-hoc NETworks (MANET) can be used for more efficient performance evaluation of such networks. There are a large number of researches for generating various mobility models to use in performance evaluation of mobile ad-hoc networks and also on performance evaluation itself of these networks. But in most of these researches the mobility model of MANET is predefined and based on this mobility model, the performance evaluation goes on. Since in real world applications the mobility model of MANETs is unknown or may be changed during the time, the need for a method of detecting or estimating the MANET's mobility model is evident. In this paper a learning automata-based method for estimating the MANET's mobility model has been proposed. Simulation results show that, in approximately 90% of cases, the proposed algorithm can estimate the mobility model correctly. © 2008 IEEE
  6. Keywords:
  7. Access control ; Automata theory ; Robots ; Telecommunication networks ; Translation (languages) ; Wireless networks ; IJA automaton ; Learning automata ; Mobile Ad-hoc Networks ; Mobility model ; Mobility models ; Performance evaluations ; Real worlds ; Simulation results ; Ad hoc networks
  8. Source: 7th IEEE International Conference on Cognitive Informatics, ICCI 2008, Stanford University, CA, 14 August 2008 through 16 August 2008 ; 2008 , Pages 249-254 ; 9781424425389 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4639175