IJCATR Volume 5 Issue 8

New Genetic Algorithm to Predict Data In Mobile Databases

Leila Alaei Sheini Hamid Paygozarh Mohammad Khalily Dermany
10.7753/IJCATR0508.1005
keywords : Mobile Database, Cache Operation, Mobile Client, Cell Connection, Memetic Algorithm.

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Modern enhancement in wireless network technology, satellite services and cell concoctions has been provided the possibility to use mobile computing systems. This movement for conducting mobile computations which needs receiving data from databases is problematic. System movement while performing transaction will lead to disconnection of mobile system with wireless network server. This disconnection will lead to fall running transaction and mobile system will be obliged to run transaction again from the beginning. One of the techniques to prevent from this transaction falling is to predict till to connect to the next mobile network. Our purpose is to present a solution to predict information to send to the mobile system in order to be used in the memory using Memetic algorithm. Generally, Memetic algorithms in optimal selection and design in many technical and scientific problems causes producing the best product or acceptable solution. The main purpose to use these kinds of optimization algorithms is to choose the best information to be sent to the mobile system while disconnection to prevent from transaction falling. This research has concentrated only on information sent to the mobile system.
@artical{l582016ijcatr05081005,
Title = "New Genetic Algorithm to Predict Data In Mobile Databases",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="8",
Pages ="525 - 529",
Year = "2016",
Authors ="Leila Alaei Sheini Hamid Paygozarh Mohammad Khalily Dermany"}
  • Data mining, decision trees and neural network techniques have been investigated.
  • In the simulation, a performance evaluation of the algorithm is carried out.
  • In this research in Mobile Databases.
  • In this research the criteria used to assess the accuracy.