| Presentation | 2013-05-28 An Efficient Flooding Scheme in Large-scale Wireless Sensor Networks Using Two-stage Optimization Ryohei SATO, Hidehiro NAKANO, Arata MIYAUCHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a two-stage optimization method for the purpose of efficient flooding in wireless sensor networks. First, the forwarding node sets are selected by using a chaotic neural network. Then, to optimize the forwarding power of each selected forwarding node is optimized by using a artificial bee colony optimization. As this method is used, it is possible to reduce the amount of total energy consumption of the network, and to realize load balancing of individual wireless sensor nodes. In the numerical simulations, the effectiveness of the proposed method is verified. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Wireless Sensor Networks / Forwarding Node / Forwarding Power Adjustment / Chaotic Neural Networks / Artificial Bee Colony |
| Paper # | NLP2013-21 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2013/5/20(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Efficient Flooding Scheme in Large-scale Wireless Sensor Networks Using Two-stage Optimization |
| Sub Title (in English) | |
| Keyword(1) | Wireless Sensor Networks |
| Keyword(2) | Forwarding Node |
| Keyword(3) | Forwarding Power Adjustment |
| Keyword(4) | Chaotic Neural Networks |
| Keyword(5) | Artificial Bee Colony |
| 1st Author's Name | Ryohei SATO |
| 1st Author's Affiliation | Tokyo City University() |
| 2nd Author's Name | Hidehiro NAKANO |
| 2nd Author's Affiliation | Tokyo City University |
| 3rd Author's Name | Arata MIYAUCHI |
| 3rd Author's Affiliation | Tokyo City University |
| Date | 2013-05-28 |
| Paper # | NLP2013-21 |
| Volume (vol) | vol.113 |
| Number (no) | 69 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |