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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4723

    Title: Genetic algorithm for optimal design of the two-level wireless ATM network
    Authors: D. R. Din;S. S. Tseng
    Contributors: Department of Information Science and Applications
    Date: 2001-05
    Issue Date: 2009-11-30 16:03:17 (UTC+8)
    Publisher: Asia University
    Abstract: Recently there has been some interest in extending ATM (Asynchronous Transfer Mode) technology to the wireless environment. The motivation behind this extension (termed wireless ATM) includes the desire for seamless interconnection of wireless and ATM networks, and the need to support emerging mobile multimedia services. In this paper, we investigate the problem of optimum assignment of cells in PCS (Personal Communication Service) to switches in a wireless ATM network. Given cells and switches in an ATM network (whose locations are fixed and known), the problem is assigning cells to switches such that the cost can be minimized. The cost has two components, one is the cost of handoffs that involve two switches, and the other is the cost of cabling. This problem is modeled as a complex integer programming problem, and finding an optimal solution to this problem is NP-complete. Two stochastic search methods. SGA (Simple Genetic Algorithm) and EGA (Extended Genetic Algorithm), based on a genetic approach, are proposed to solve this problem. Simulation results show that genetic algorithms are robust for this problem.
    Relation: Proceeding of the National Science Council Republic of China (Part A) 25(3):151-162
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

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