IJCATR Volume 5 Issue 8

A Multi-Objective Optimization Algorithm to Predict Information in Mobile Databases

Leila Alaei Sheini Hamid Paygozarh Mohammad Khalily Dermany
10.7753/IJCATR0508.1004
keywords : mobile database, cache operations, mobile customer, cell connection, particle swarm optimization, multi-objective.

PDF
Recent advances in wireless data networking, satellite services and cell connections allow us to take advantage of mobile computing systems. Here, a problem is the mobility of computing process which needs to get information from databases. In fact, system movement during the transaction interrupts the mobile network connection to server wireless systems, and the disconnection causes failing in the running transaction so the mobile system has to run the transaction again. One way to avoid transaction failure is doing prediction process until connecting to the next wireless network. The objective of this study is to use particle swarm optimization (PSO) algorithm in order to provide a solution for prediction of the information sent to the mobile system for using the memory. Generally, PSO algorithms result in the best or an acceptable solution for optimized selection and design in many scientific and technological problems. Here, the objective of PSO is to select the best information to send to the mobile system when the connection is interrupted in order to prevent transaction failures. This study focuses only on information sent to the mobile system.
@artical{l582016ijcatr05081004,
Title = "A Multi-Objective Optimization Algorithm to Predict Information in Mobile Databases",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="8",
Pages ="519 - 524",
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.