A method for reliable acquisition of underwater Internet of Things data assisted by mobile nodes

Abstract

The invention discloses a method for reliable collection of underwater Internet of Things data assisted by a mobile node. First, determine the polling object of the mobile node AUV. Second, build a predictive model. Take the collected data of the first N rounds as historical data, predict the data of the N+1 round based on the regression test, and use the real value of the data from the N+1 round to the 2N round to calibrate the predicted value, and continuously learn and optimize the prediction model. Finally, plan the polling route of the AUV. Design the storage threshold of the cluster head, and determine the polling object of each round of the AUV according to the prediction model's prediction of the data volume of each cluster head, so as to maximize the data volume collection and improve the network work efficiency. The present invention has great optimization in terms of network energy consumption, throughput, data transmission efficiency, etc., especially when randomly occurring target events obey a linear distribution, it has great prediction advantages.

Description

technical field [0001] The invention belongs to the technical field of underwater sensor network data transmission, and in particular relates to a mobile node-assisted reliable collection method for underwater Internet of Things data. Background technique [0002] For some complex underwater tasks, both fixed nodes are required to monitor the target area in real time, and mobile nodes are required to dynamically capture abnormal states. Therefore, the 3D heterogeneous dynamic model has become the mainstream model for current underwater network operation and maintenance. Considering the cost of the mobile node AUV (Autonomous Underwater Vehicle), there are only a small number of AUVs deployed in the network, and most of them are ordinary sensor nodes. Because the AUV node has strong functions and large energy, it has good utility in reliable data transmission. To this end, researchers have proposed a series of reliable underwater IoT data collection algorithms assisted by mo...

AI Technical Summary

Problems solved by technology

[0005] To sum up, the existing polling methods mainly have the following problems: (1) Most of the existing polling architectures are based on the two-dimensional plane deployment of sensor nodes, and there are few polling methods for three-dimensional space and more loopholes. Large, not suitable for large-scale promotion

Fixed trajectories cannot well adapt to the dynamic evolution of underwater networks, and it is difficult to ensure the reliability of data communication after the replacement of interactive nodes, and cannot guarantee the efficiency of data collection at each moment

(3) The randomness of the occurrence of the target event is not considered

In order to prolong the life of the network and reduce the energy consumption of nodes, the monitoring data of target events should be collected mainly, and the information of the whole network should be collected generally, which not only enhances the energy consumption of node polling, but also makes the processing of subsequent data more complicated

(4) The energy consumption of AUV is not considered

Although the energy of AUV is several orders of magnitude higher than that of ordinary sensor nodes, there are still energy limitations, and it is not realistic to assume that its energy is infinite

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