The monitoring system based on a multi-agent approach for moving objects positioning in wireless networks

. The problem of mobile device positioning system deployment is considered. Existing mobile positioning techniques that were intended for the moving object itself will not get on the Wi-Fi sniffer. A radio frequency propagation model method based on a multi-agent approach is proposed. Also, the router, host sniffer and phone can be in different network segments. This makes it possible to track any device that can access the Internet via Wi-Fi or Ethernet, like a mobile device in this approach, and to increase performance by 2% while reducing the number of calculations in the model. The sniffing software that implements the proposed methods is developed. It can be argued that the considered task is a supervised learning task with significantly accelerating the learning process.

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The monitoring system based on a multi-agent approach for moving objects positioning in wireless networks

Semantic Scholar · Computer Science · 2020

Abstract

. The problem of mobile device positioning system deployment is considered. Existing mobile positioning techniques that were intended for the moving object itself will not get on the Wi-Fi sniffer. A radio frequency propagation model method based on a multi-agent approach is proposed. Also, the router, host sniffer and phone can be in different network segments. This makes it possible to track any device that can access the Internet via Wi-Fi or Ethernet, like a mobile device in this approach, and to increase performance by 2% while reducing the number of calculations in the model. The sniffing software that implements the proposed methods is developed. It can be argued that the considered task is a supervised learning task with significantly accelerating the learning process.

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