Paper Info
Title
Creating new functions in a P2P network using a source routing based method and a genetic algorithm
Abstract
In this paper we first assume a peer-to-peer (P2P) network composing nodes with a variety of functions and then propose a method for each node to create new functions by combining others' functions in a P2P network. In the proposed method, a node (user) that desires a new function first creates a candidate of new function combining others' functions by using a source routing based method that determines a next hop node based on numerical operations. Next, the node evaluates the created new function candidate and then genetic operators of a genetic algorithm adjusts parameter values used by the source routing based method based on the user's evaluation value. Thus, new functions desired by a node are created by repeating the source routing for creating a candidate of new function, evaluation of the new function candidate by a node, and adjustment of the routing parameters by genetic operators. We show basic effectiveness of the proposed method through simulations.
Year
DOI
Venue
2012
10.1109/SCIS-ISIS.2012.6505058
Joint International Conference on Soft Computing and Intelligent Systems SCIS and International Symposium on Advanced Intelligent Systems ISIS
Field
DocType
ISSN
Mathematical optimization,Dynamic Source Routing,Static routing,Computer science,Policy-based routing,DSRFLOW,Routing domain,Destination-Sequenced Distance Vector routing,Theoretical computer science,Routing table,Geographic routing,Distributed computing
Conference
2377-6870
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
qian cheng100.34
Kei Ohnishi23917.71