Paper Info
Title
A Morphogenetic And Evolutionary Approach To Regulating Wireless Access Points For Energy-Efficient And Reliable Connection Services
Abstract
We propose a method for regulating wireless access points (APs) that is based on mechanisms of biological development and evolution. The purpose of the proposed regulation is to simultaneously achieve power savings in the APs and achieve reliable connection services through the APs better, which is shown to be a trade-off relationship in this study. The regulation 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 show that the proposed method is capable of exploring the tradeoff relationship between the amount of consumed power of the APs and the reliability of connection services in terms of momentary achievement by regulating APs, but yields highly varying regulation results along time.
Year
Venue
Field
2015
2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
Design information,Mathematical optimization,Wireless,Identifier,Efficient energy use,Computer science,Global information,Genetic algorithm,The Internet
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Kei Ohnishi13917.71
Kazuya Tsukamoto212625.43
Shigeru Kashihara37717.12