Grouping of mobile nodes in manet based on location and mobility information using an art network

International Journal of Innovative Computing, Information and Control

Volumn 5, Issue 11, 2009, Pages 4357-4365

  Nakano, Hidehiro ^a   Utani, Akihide ^a   Miyauchi, Arata ^a   Yamamoto, Hisao ^a  

^a TOKYO CITY UNIVERSITY   (Japan)

Author keywords

ART networks; Grouping; Mobile ad hoc networks; Node distribution

Indexed keywords

ADAPTIVE RESONANCE THEORY NETWORKS; ART NETWORKS; COMMUNICATION DEVICE; COMMUNICATION NODES; DEVELOPMENT POTENTIAL; DISASTER ZONES; MOBILE NODES; MOBILITY INFORMATION; NETWORK TOPOLOGY; NODE DISTRIBUTION; NUMERICAL SIMULATION; RELAY NODE;

ACCESS CONTROL; ARTS COMPUTING; COMMUNICATION; COMPUTER SIMULATION; ELECTRIC NETWORK TOPOLOGY; INTERNET PROTOCOLS; MOBILE AD HOC NETWORKS; MOBILE TELECOMMUNICATION SYSTEMS; TELECOMMUNICATION NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

AD HOC NETWORKS;

EID: 71149117573     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (8)

1. D. B. Johnson, D. A. Maltz, Y. C. Hu, and J. G. Jetcheva, The dynamic source routing protocol for mobile ad hoc networks, IETF Internet Draft, draft-ietf-manet-dsr-09.txt, 2003.
2. C. E. Perkins and E. M. Royer, Ad hoc on-demand distance vector routing, Proc. of the 2nd IEEE Workshop on Mobile Computing Systems and Applications, pp.90-100, 1999.
3. T. Clausen and P. Jaquet, Optimized link state routing protocol, Request for Comments, 3626, 2003.
4. R. Ogier, M. Lewis, and F. Templin, Topology dissemination based on reverse-path forwarding (TBRPF), IETF Internet Draft, draft-ietf-manet-tbrpf-10. txt, 2003.
5. M. Ohki, H. Torikai, and T. Saito, A simple radial basis ART network: Basic learning characteristics and application to area measurement, Proc. of the NOLTA, pp.262-265, 2005.
6. G. A. Carpenter, S. Grossberg, and D. B. Rosen, Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system, Neural Networks, vol.4, pp.759-1711, 1991.
7. G. A. Carpenter, S. Grossberg, N. Markuzon, J. Reynolds, and D. B. Rosen, Fuzzy-ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps, IEEE Trans. Neural Networks, vol.3, pp.698-713, 1992.
8. G. C. Anagnostopoulos and M. Georgiopoulos, Hypersphere ART and ARTMAP for unsupervised and supervised incremental learning, Proc. IJCNN, vol.6, pp.59-64, 2000.