Presentation 2014-03-07
Proposal and evaluation of a active routing method based on attractor selection model with memory
Tomohiro NAKAO, Jun-nosuke TERAMAE, Naoki WAKAMIYA,
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Abstract(in English) Distributed-autonomous mechanisms have recently attracted much attention to realize robust and scalable routing protocols. Unlike conventional centralized mechanisms, distributed protocols require only local information of network state to realize fault-tolerant and low-overhead routing. Due the lack of global knowledge, however, distributed protocols often suffer relatively long response time to traffic changes occurred at currently unmonitored paths. In order to overcome the difficulty of distributed approaches, here, we propose a distributed-autonomous routing protocol with active information exploration based on the biologically inspired attractor selection model. The proposed model realizes aperiodic information exploration by utilizing fluctuation. Simultaneously, in order to avoid excess flapping caused by the exploration, the model has a short-term memory and automatically returns to the memory state after exploration if necessary. Using numerical simulation, we confirm that the proposed mechanism successfully balances rapid exploration and stable routing and response time is highly reduced to traffic change of nonlocal paths.
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Keyword(in English) Attractor Selection Model / Memory / Active Search / Routing
Paper # IN2013-177
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Committee IN
Conference Date 2014/2/27(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposal and evaluation of a active routing method based on attractor selection model with memory
Sub Title (in English)
Keyword(1) Attractor Selection Model
Keyword(2) Memory
Keyword(3) Active Search
Keyword(4) Routing
1st Author's Name Tomohiro NAKAO
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Jun-nosuke TERAMAE
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
3rd Author's Name Naoki WAKAMIYA
3rd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
Date 2014-03-07
Paper # IN2013-177
Volume (vol) vol.113
Number (no) 473
Page pp.pp.-
#Pages 5
Date of Issue