Paper Info
Title
Self-configuration of Wireless Access Points Based on Mechanisms of Biological Development and Evolution
Abstract
We propose a method for self-configuration of wireless access points (APs) that is inspired by mechanisms of biological development and evolution. The purpose of the proposed configuration is to simultaneously achieve power savings in the APs and achieve reliable connection services through the APs. The configuration target is the cycle time at which each AP enters the power-off state, which is referred to as the sleep cycle time. Biological development mechanisms form bodies of a variety of shapes using different genomes as design information, and these genomes are modified evolutionarily. Similarly, in the present study, a method inspired by biological development forms a variety of the sleep cycle times of APs, and an evolutionary method modifies the parameter values of the method inspired by the biological development in order to obtain better configurations of the APs. In addition, the regulation method is able to configure APs in a distributed manner without knowing global information, the total number of APs, their locations, or their identifiers, which is actually suitable for the situation assumed in the present study, in which APs are established and removed freely by their owners and AP users freely appear. Simulation results suggest that the proposed method is able to achieve power savings and reliable connection services under several assumptions.
Year
DOI
Venue
2010
10.1109/SASOW.2010.9
SASO Workshops
Keywords
Field
DocType
biological development mechanisms form,present study,biological development,evolutionary method,sleep cycle time,cycle time,regulation method,power saving,reliable connection service,wireless access,internet,pattern formation,proteins,reliability,sleep,lead,genomes,genomics
Design information,Power saving,Wireless,Biological evolution,Identifier,Computer science,Global information,Computer network,Wireless access point,Real-time computing,Distributed computing,The Internet
Conference
Citations 
PageRank 
References 
1
0.38
5
Authors
4
Name
Order
Citations
PageRank
Kei Ohnishi13917.71
Kazuya Tsukamoto230.77
Shigeru Kashihara37717.12
Yuji Oie437868.37