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Title: Synaptic connection autonomic networks
Authors: Wang, F
Ghanea-Hercock, R
Sun, Y
Keywords: Synaptic Connection Autonomic Networks (SCAN);P2P networks
Issue Date: 2005
Publisher: VDE Verlag
Citation: Proceedings of EURESCOM Summit 2005 on Ubiquitous Services and Applications, pp. 25 - 34, Heidelberg, Germany, (27- 29 April 2005)
Abstract: This paper proposes a novel approach to form weighted peer-to-peer networks in a self-organising and decentralised way, termed Synaptic Connection Autonomic Networks (SCAN). Distributed peers in SCAN establish and update their connections or associations based on resource sharing results by following Hebbian learning in a related manner to that in biological neural systems. The strengths of peer associations reflect the utility of one peer to another and continuously adapt over time. In operation SCAN constructs resilient peer-to-peer networks in real time. The result is a more efficient and effective resource sharing mechanism between distributed peers. Simulated experiments verified that SCAN successfully formed P2P networks with correct peer associations and the resource search based on it was continuously improving as the networks were correctly formed.
Appears in Collections:Dept of Computer Science Research Papers

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