A neural network approach to broadcasting in multihop packet radio networks

Nobuo Funabiki, Yoshiyasu Takefuji, Kuo Chun Lee, Yong Beom Cho, Takakazu Kurokawa, Hideo Aiso

研究成果: Conference contribution

抄録

A neural network model for broadcasting scheduling in multihop packet radio networks is presented. The problem of broadcast scheduling with a minimum number of time slots is NP-complete. The proposed neural network model finds a broadcasting schedule with a minimal number of time slots where it requires n processing elements for an n-node radio network. Fifteen different radio networks were examined where the neural network model found an m-time-slot solution in O(m) time with n processors.

本文言語English
ホスト出版物のタイトル91 IEEE Int Jt Conf Neural Networks IJCNN 91
出版社Publ by IEEE
ページ2540-2545
ページ数6
ISBN(印刷版)0780302273
出版ステータスPublished - 1991
外部発表はい
イベント1991 IEEE International Joint Conference on Neural Networks - IJCNN '91 - Singapore, Singapore
継続期間: 1991 11月 181991 11月 21

出版物シリーズ

名前91 IEEE Int Jt Conf Neural Networks IJCNN 91

Other

Other1991 IEEE International Joint Conference on Neural Networks - IJCNN '91
CitySingapore, Singapore
Period91/11/1891/11/21

ASJC Scopus subject areas

  • 工学一般

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