Node Diffusion Method for Signal Loss Prediction Based on Maize Growth Situation

Abstract

The invention relates to a signal loss prediction node spreading method based on corn growing states. The signal loss prediction node spreading method based on the corn growing states comprises the steps that (S1) node deploying height h is determined according to a wireless signal transmission model; (S2) a node deploying guide number is determined according to influences of the corn growing states on transmission distances of wireless signals and data transmission quantity energy consumption; (S3) structuring deployment is carried out according to the node deploying guide number, and wireless signal transmission environment information in subareas and all small areas are collected; (S4) node number supplement and node position adjustment are carried out on all the subareas according to the wireless signal transmission environment information of all the small areas. According to the signal loss prediction node spreading method based on the corn growing states, the node deploying model is given according to the characteristics of the transmission environment of the wireless signals in fields of corn in different stages, and the effects of less node deployment density and the higher energy utilization rate are achieved by determining the deploying height, a network range, node density and node deploying strategies.

Description

technical field [0001] The invention relates to the technical field of computer agriculture, in particular to a node diffusion method based on signal loss prediction of corn growth state. Background technique [0002] Through remote real-time monitoring, wireless sensor networks can provide real-time and accurate environmental data for agricultural production, obtain crop habitat information, quickly adjust planting plans, improve crop constants, and reduce cost input. It has become a key technology to increase crop yield. The application of wireless sensor networks in agricultural production to monitor the production environment of agricultural products has become an important part of high-quality food production and processing systems. The emerging technology of wireless sensor networks will provide new economic opportunities for agriculture. At the same time, the application of wireless sensor networks in agriculture Faced with the special requirements of complex wireless...

AI Technical Summary

Problems solved by technology

However, these deployment methods are all aimed at the general environment, without analyzing the specific transmission environment of wireless signals, and the deployment methods are all based on how to adjust the location of the sensor in an unchanging environment (Open Space) to meet the coverage requirements

[0006] There are several deployment methods commonly used at present. The structured deployment has the disadvantages of being inflexible and unable to adapt to uneven changes in the environment. Ensure the connectivity of network nodes

If the node deployment density is increased to achieve better network coverage and connectivity, the cost will inevitably increase; the existing wireless sensor network node deployment method does not take into account the impact of crop growth on wireless signal transmission in the farmland environment , thinking that the wireless signal is in a single and constant environment, which cannot meet the needs of wireless sensor network monitoring in agriculture. Secondly, for the application cost requirements of wireless sensors in agriculture, how to determine the optimal node deployment under the premise of meeting the requirements of environmental monitoring Appropriate quantity, and how to achieve complete coverage and connectivity by designing the layout of nodes under the premise of limiting the number of nodes is an urgent problem to be solved

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