Optimization of the Number and Placement of Routers in Wireless Mesh Networks
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gp-bibliography.bib Revision:1.8098
- @InProceedings{Ali:2022:ICAIoT,
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author = "Mohammed Sadeq Ali Ali and Mesut Cevik",
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booktitle = "2022 International Conference on Artificial
Intelligence of Things (ICAIoT)",
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title = "Optimization of the Number and Placement of Routers in
Wireless Mesh Networks",
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year = "2022",
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abstract = "Wireless Mesh Networks (WMNs) are a new type of
wireless network that has been growing in popularity.
These networks consist of routers and clients. The
routers are called mesh routers (MRs) and the clients
are called mesh clients. WMNs have several advantages
over traditional wireless networks, such as more
reliable coverage and faster speeds. Many different
types of algorithms can be used to determine the best
placement for these routers, with some algorithms being
better than others depending on the environment or
situation. One algorithm is called a Genetic Algorithm
(GA), which uses genetic programming to find an optimal
solution for router placement. GA is used to find the
best placement of the router so that it can provide the
most coverage possible for a specific area GA or
evolutionary algorithms are based on a biological
theory known as Darwin's theory. In evolutionary
algorithms, it is since the information of the problem
becomes chromosomes, and then the problem is solved by
special problem-solving techniques in the evolutionary
algorithm. The suggested method was implemented using
the C++ programming environment and the NS2 software
suite. Using a benchmark of produced instances, the
experimental outcomes have been analysed. Variable sets
of produced instances ranging in size from small to big
have been explored. Consequently, several properties of
WMNs, including the topological placement of mesh
clients, have been recorded.",
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keywords = "genetic algorithms, genetic programming, Wireless
networks, Wireless mesh networks, Evolutionary
computation, Software, Reliability, Problem-solving,
Internet of Things, IOT, routers, wireless network,
WMNs",
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DOI = "doi:10.1109/ICAIoT57170.2022.10121861",
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month = dec,
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notes = "Also known as \cite{10121861}",
- }
Genetic Programming entries for
Mohammed Sadeq Ali Ali
Mesut Cevik
Citations