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Volumn 2005, Issue , 2005, Pages 259-266

NEURAL: A self-organizing routing algorithm for Ad Hoc networks

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; LEARNING SYSTEMS; ROUTERS; SIGNAL PROCESSING; SIGNAL THEORY; TELECOMMUNICATION NETWORKS;

EID: 33744477333     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIOPT.2005.32     Document Type: Conference Paper
Times cited : (6)

References (24)
  • 12
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    • An empirical study of epidemic algorithms in large scale multihop wireless networks
    • march IRB-TR-02-003
    • D. Ganesan, B. Krishnamachari, A. Woo, D. Culler, D. Estrin, and S. Wicker. An empirical study of epidemic algorithms in large scale multihop wireless networks, march 2002. Intel Research, IRB-TR-02-003.
    • (2002) Intel Research
    • Ganesan, D.1    Krishnamachari, B.2    Woo, A.3    Culler, D.4    Estrin, D.5    Wicker, S.6
  • 13
    • 0035415758 scopus 로고    scopus 로고
    • The performance of query control schemes for the zone routing protocol
    • Aug.
    • Z. Hass and M. Pearlman. The performance of query control schemes for the zone routing protocol. In IEEE/ACM Transactions on networking, volume 9 N4, pages 427-438, Aug. 2001.
    • (2001) IEEE/ACM Transactions on Networking , vol.9 , Issue.4 , pp. 427-438
    • Hass, Z.1    Pearlman, M.2
  • 17
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • T. Kohonen. Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43:59-69, 1982.
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 18
    • 0031839301 scopus 로고    scopus 로고
    • Neural network modeling in optimisation of continuous fermentation processes
    • P. Lednicky and A. Meszaros. Neural network modeling in optimisation of continuous fermentation processes. Bioprocess Engineering, 18:427-432, 1998.
    • (1998) Bioprocess Engineering , vol.18 , pp. 427-432
    • Lednicky, P.1    Meszaros, A.2
  • 19
    • 33744471511 scopus 로고    scopus 로고
    • Proposition of a hirearchical service distribution architecture for ad hoc networks based on the weight clustering algorithm
    • Barcelona, Spain, february
    • J. Nuevo and J. Gregoire. Proposition of a hirearchical service distribution architecture for ad hoc networks based on the weight clustering algorithm. In Proceeding of European Wireless 2004, Barcelona, Spain, february 2004.
    • (2004) Proceeding of European Wireless 2004
    • Nuevo, J.1    Gregoire, J.2
  • 20
    • 0035249889 scopus 로고    scopus 로고
    • Performance comparison of two on-demand routing protocols for ad hoc networks
    • february
    • C. Perkins, E. Royer, S. Das, and M. Marine. Performance comparison of two on-demand routing protocols for ad hoc networks. In IEEE Personal Communications, volume 8 N1, pages 16-28, february 2001.
    • (2001) IEEE Personal Communications , vol.8 , Issue.1 , pp. 16-28
    • Perkins, C.1    Royer, E.2    Das, S.3    Marine, M.4
  • 23
    • 33750387944 scopus 로고    scopus 로고
    • Optimizing clustering algorithm in mobile ad hoc networks using genetic algorithmic approach
    • Taipei, Taiwan, november
    • D. Turgut, S. Das, R. Elmasri, and B. Turgut. Optimizing clustering algorithm in mobile ad hoc networks using genetic algorithmic approach. In Proceeding of GLOBECOM 2002, Taipei, Taiwan, november 2002.
    • (2002) Proceeding of GLOBECOM 2002
    • Turgut, D.1    Das, S.2    Elmasri, R.3    Turgut, B.4
  • 24
    • 0031209611 scopus 로고    scopus 로고
    • Evolving artificial neural networks to control chaotic systems
    • Aug.
    • E. Weeks and J. Burgess. Evolving artificial neural networks to control chaotic systems. Physical Review E, The American Physical Society, 56:1531-1540, Aug. 1997.
    • (1997) Physical Review E, The American Physical Society , vol.56 , pp. 1531-1540
    • Weeks, E.1    Burgess, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.