An efficient genetic algorithm for large-scale transmit power control of dense and robust wireless networks in harsh industrial environments

Author:

Gong Xu,Plets David,Tanghe Emmeric,De Pessemier Toon,Martens Luc,Joseph Wout

Funder

ICON-FORWARD

Publisher

Elsevier BV

Subject

Software

Reference41 articles.

1. Measurement-based wireless network planning, monitoring, and reconfiguration solution for robust radio communications in indoor factories;Gong;IET Sci. Measurement Technol.,2016

2. On the performance of IEEE 802.11e wireless infrastructures for soft-real-time industrial applications;Cena;Ind. Inf. IEEE Trans.,2010

3. The industrial indoor channel: large-scale and temporal fading at 900, 2400, and 5200MHz;Tanghe;IEEE Trans. Wireless Commun.,2008

4. Auction-based cooperation mechanism to parts scheduling for flexible job shop with inter-cells;Tang;Appl. Soft Comput.,2016

5. S. Roswitha. A wireless future for industry, Siemens, 2014; http://www.automation.siemens.com/wcmsnewscenter/details.aspx?xml=/content/10001666/en/gc/Pages/Adv141_S36_IndustrialWLAN.xml&xsl=publication-en-www4.xsl.

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