A method for establishing a path loss model based on a wireless sensor network in a pig breeding environment

Abstract

The invention relates to a method for establishing a path loss model based on a wireless sensor network under a pig breeding environment. According to the method, a path loss value under the pig breeding environment is forecasted by using a logarithmic path loss model, and corresponding parameter values are acquired. Walls and plants are taken as obstacles, attenuation factors of the walls and the plants are calculated, the two kinds of attenuation factors are finally synthesized into the logarithmic path loss model, and the path loss of wireless signal transmission between arbitrary points in a pig breeding farm can be forecasted after measuring and correcting. The path loss model for forecasting is good in accuracy and strong in practicability.

Description

technical field [0001] The invention relates to the fields of wireless signal transmission, the Internet of Things, and pig breeding, and in particular to a method for establishing a path loss model based on a wireless sensor network in a pig breeding environment. Background technique [0002] The traditional mode of pig breeding in our country is to obtain the required data through manual measurement. This mode is not only time-consuming, inefficient and requires a lot of manpower. The wireless sensor network can obtain information efficiently and accurately in real time, but due to the complexity of the pig farm environment, the wireless signal will be attenuated by various obstacles during the propagation process, which will affect the accuracy and real-time performance of data collection. [0003] Since different obstacles in the environment will have different effects on the transmission of wireless signals, if the path loss cannot be effectively estimated when deployin...

AI Technical Summary

Problems solved by technology

[0002] my country's traditional pig breeding mode is to obtain the required data through manual measurement. This mode is not only time-consuming, inefficient, but also requires a lot of manpower

Wireless sensor networks can obtain information efficiently and accurately in real time, but due to the complexity of the pig farm environment, wireless signals will be attenuated by various obstacles during the propagation process, affecting the accuracy and real-time performance of data collection

[0003] Since different obstacles in the environment will have different effects on the transmission of wireless signals, if the path loss cannot be effectively estimated when deploying a wireless sensor network, it will affect the topology of the overall network and cannot be optimal, resulting in resource loss. The waste or lack of data, so the path loss model proposed according to the obstacle type and influence has very important significance

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