Communication method and device based on multi-channel monitoring and rssi sampling

Abstract

The present invention discloses a communication method and device based on multi-channel monitoring and RSSI sampling, wherein the method includes the following steps: obtaining RSSI values ​​of a plurality of adjacent channels from a plurality of points uniformly distributed in space; At any time, if one of the multiple adjacent channels is to be used to send a data packet, the real-time RSSI values ​​of all channels are obtained, the median calculation is performed on the real-time RSSI values ​​of all channels, and the result is added to the result by one Offset X to obtain a noise threshold; compare the real-time RSSI value of the certain channel at time t with the noise threshold; if the real-time RSSI value is less than the noise threshold, determine that the channel is idle and send data. The communication method and device based on multi-channel monitoring and RSSI sampling provided by the present invention obtains the RSSI value of the channel in real time, and accurately calculates the noise threshold of the channel to ensure normal and reliable data transmission.

Description

technical field [0001] The present invention relates to the technical field of communication, in particular to a communication method and device based on multi-channel monitoring and RSSI sampling. Background technique [0002] In recent years, as an important part of the Internet of Things, wireless sensor networks have gradually been applied in the fields of intelligent transportation, smart home, precision agriculture, etc., and have developed rapidly. Various new technologies about sensor networks have also attracted attention. [0003] In the wireless communication network, more and more nodes are working at the same time in the same spatial channel, which will inevitably cause interference and collision between communication nodes, resulting in data loss, especially in the current rapid development of vehicle network communication. In the system, the system has very high requirements on the real-time and reliability of the communication, so as to fully guarantee the tr...

AI Technical Summary

Problems solved by technology

However, the current existing methods all use a single channel and single node to sample the RSSI value, which is unstable and unreliable, and is easy to fluctuate with environmental uncertainties. For example, changes in environmental humidity and temperature can affect RSSI, and The sampling of these influencing factors on the RSSI value is irregular, so it is difficult to analyze the degree of influence on the RSSI value, which leads to the unreliability of using the RSSI value to judge the busy status of the channel.

To a certain extent, it increases the probability of each node misjudging the channel state, and to a certain extent, it leads to data transmission conflicts and collisions.

Images