ZigBee Cognitive Spectrum Detection Algorithm Research Of Internet Of Things In Agriculture

In agriculture things, the data transmission is a key link. It has a large number of sensor nodes in the agricultural Things perception layer, high-definition cameras and a variety of sensing terminals. The perceived need for a terminal wireless communication technology to transmit collected data to the data center, so that agricultural workers for data analysis. In this process, due to the scarcity of spectrum resources, traditional wireless communication technology has been unable to guarantee the reliability of massive data transmission, a need for a new type of communications technology for agriculture was to provide a stable interconnected network. Therefore, this paper has been relatively mature cognitive radio technology and agriculture things combine to provide a robust agriculture was a short distance interconnection network.Firstly, all kinds of things in agriculture spectrum resources will need to analyze, cognitive radio and find the point of integration of agricultural IOT. Things agricultural data transmission specification, recognized by scholars and large number of applications are: ZigBee, Bluetooth, WiFi. Wherein wireless sensor networks ZigBee technology is often used for short distance communication transmission, often used in agriculture in the Internet of Things, to complete the transfer of data between the wireless sensor network nodes. Therefore, this article established a detection model based on cognitive spectrum ZigBee, so that the user can select the free ZigBee spectrum hole as a transport channel.Secondly, cognitive spectrum detection in the single-user cognitive spectrum sensing inductive analysis. Due to the single-user performance spectrum detection algorithm is affected by the physical environment, when the channel environment is poor cognitive users will result in decreased probability of detection. Therefore, in the third chapter of the multi-user cooperative spectrum sensing paper conducted a comprehensive study. Right "AND" analyze "OR" and "K / N" Guidelines for the simulation of these three aspects from concepts, algorithms, and algorithm model.Based on the fourth and fifth chapters focuses on two improved cooperative spectrum detection algorithm, one is the improved version of the double threshold cooperative spectrum detection algorithm, and the other is based on the weighted SNR improvement algorithms.Firstly, the traditional two-threshold and SNR weighted algorithm research, and then on the basis of traditional algorithm to improve the algorithm, and by MATLAB software. The improved algorithm simulation experiments, simulation results show that the improved detection algorithm detection performance significantly improved.