Machine Learning Supported Nano-Router Localization in WNSNs
نویسندگان
چکیده
Sensing data from the environment is a basic process for nano-sensors on network. This sensitive need to be transmitted base station processing. In Wireless Nano-Sensor Networks (WNSNs), nano-routers undertake task of gathering and transmitting it nano-gateways. When number not enough network, by multi-hop routing. Therefore, there should more placed network efficient direct transmission avoid routing problems such as high energy consumption traffic. this paper, machine learning-supported nano-router localization algorithm WNSNs proposed. The aims predict required depending size maximum node coverage in order ensure estimating best virtual coordinates these nano-routers. According results, proposed successfully places which increases up 98.03% average provides accuracy transmission.
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ژورنال
عنوان ژورنال: Sakarya University Journal of Science
سال: 2023
ISSN: ['1301-4048', '2147-835X']
DOI: https://doi.org/10.16984/saufenbilder.1246617