Presentation 2001/3/23
Neural network for scheduling problem in multihop communication networks.
Tomoyasu KATSUMA, Kaoru WATANABE,
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Abstract(in English) In a wireless multi-hop network, some nodes relay packets in order to transfer messages. Scheduling problems in such a network is ones that nodes associate packets with as few frequency-bands / time-slots as possible. In this report we deal with a broadcast scheduling problem. This problem is known to be NP-hard, and sowe cannot find an optimal solition in polynomial time. A hopfield neural network does not usually find an optimal solution of an NP-hard problem. To avoid converging on a local minimum, chaotic approach has been studied recently. In this report we apply a chaotic hopfield neural network to the broadcast scheduling problem, and we show that this approach has better performance than a previous algorithm.
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Keyword(in English) Multihop network / Wireless communication / Neural network
Paper # CAS2000-134,DSP2000-192,CS2000-154
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Conference Information
Committee CS
Conference Date 2001/3/23(1days)
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Registration To Communication Systems (CS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Neural network for scheduling problem in multihop communication networks.
Sub Title (in English)
Keyword(1) Multihop network
Keyword(2) Wireless communication
Keyword(3) Neural network
1st Author's Name Tomoyasu KATSUMA
1st Author's Affiliation Osaka Electro-Communication Univ., Graduate School of Engineering, Faculty of Information Science and Technology()
2nd Author's Name Kaoru WATANABE
2nd Author's Affiliation Osaka Electro-Communication Univ., Graduate School of Engineering, Faculty of Information Science and Technology
Date 2001/3/23
Paper # CAS2000-134,DSP2000-192,CS2000-154
Volume (vol) vol.100
Number (no) 722
Page pp.pp.-
#Pages 5
Date of Issue