English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57517/91034 (63%)
Visitors : 13452203      Online Users : 268
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/91631

    Title: PSO and APSO for Optimizing Coverage in Indoor UWB Communication System
    Authors: Chiu, Chien-Ching;Ho, Min-Hui;Liao, Shu-Han
    Contributors: 淡江大學電機工程學系
    Date: 2013-05-01
    Issue Date: 2013-07-23 12:43:27 (UTC+8)
    Publisher: Hoboken: Jossey Bass, Ed. & Pub.
    Abstract: This article presents a method for determining the required number and locations of transmitting antennas (TXs) to optimize wireless propagation coverage in an indoor ultra wideband (UWB) communication system. In the coverage prediction model, we use the three-dimensional ray-tracing technique associated with a particle swarm optimization (PSO), and asynchronous particle swarm optimization (APSO) for optimizing the TXs location in an indoor environment. The three-dimensional ray tracing and optimization algorithm was applied in indoor environment to find the best location of the TXs by maximizing the power in the coverage area. A deployment is proposed to minimize the TXs and maximize the power in the coverage area. Simulation results illustrate the feasibility of using the integrated ray-tracing, and optimization methods to find the optimal transmitter locations in determining the optimized coverage of a wireless network. The APSO has better optimization results compared to the PSO and numerical results also show that the APSO outperforms the PSO in convergence speed.
    Relation: International Journal of RF and Microwave Computer-Aided Engineering 23(3), pp.300-308
    DOI: 10.1002/mmce.20674
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

    Files in This Item:

    There are no files associated with this item.

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback