Blackspot-prediction farmland time-varying heterogeneous network node deployment and interactive dispatching method

Abstract

The invention discloses a blackspot-prediction farmland time-varying heterogeneous network node deployment and interactive dispatching method. The node deployment includes acquiring attribute of nodes according to path loss, node sensing probability, effective node sensing area and surplus node energy in the process of signal transmission; acquiring significance of the nodes according to the attribute and the node degree of the nodes; deploying the nodes by a constraint tightening method according to the significance of the nodes. The node interactive-dispatching includes determining a redundant node set according to the surplus node energy and the network coverage rate; according to a farmland time-varying heterogeneous network node set, determining a triangulation graph corresponding to the node set; according to the redundant node set, deleting non-redundant nodes and relevant sides in the triangulation graph to obtain a subdivision graph; determining dormant nodes in the redundant node set to obtain a dormant node set according to the redundant node set; deleting the nodes in the dormant node set in the farmland time-varying heterogeneous network node set to obtain a communication coverage set.

Description

technical field [0001] The invention relates to the field of agricultural technology, in particular to a method for deployment and interactive scheduling of blind spot prediction farmland time heterogeneous network nodes. Background technique [0002] Wireless sensor networks use various sensors to sense and obtain information, and then use embedded computing technology to perform an effective fusion process on the obtained information, while network nodes realize the transmission of data information through multi-hop technology and distributed information processing technology. The sensor nodes in the wireless sensor network can be randomly or specifically arranged in the working environment, through wireless communication to realize cooperative perception, collect and process the information of the sensing objects in the network coverage area, effectively process the data, and finally obtain accurate information; wireless sensor The network basically does not require human...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the wireless sensor network nodes are placed randomly, and due to environmental impact or node movement, each node is generally powered by a disposable battery, and it is very difficult to replace the battery after placement. Strong impact, plants can absorb, reflect and block wireless signals, which will cause a large path loss to the propagation of radio signals, thus affecting the network coverage effect

In addition, due to the long growth cycle of crops and the limited energy of sensor nodes, the consideration of node energy in the network coverage strategy is also very important. There are relatively few studies on the application of renewable energy nodes to the network coverage of the temporal and spatial variability of the farmland environment. Some studies have basically carried out relevant research on the optimization of network coverage, without combining the determined monitoring environment, analyzing the key nodes of the network, predicting the blind spots in the monitoring area, and optimizing the deployment of heterogeneous network nodes and the node scheduling mechanism.

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