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Node value prediction method based on temperature sensor in Internet of Things

A temperature sensor and prediction method technology, applied in the field of the Internet of Things, can solve the problems of increasing the burden of data processing, increasing system power consumption, etc., to achieve the effect of ensuring efficiency and speeding up the solution

Inactive Publication Date: 2021-06-18
SHANTOU UNIV
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Problems solved by technology

The maintenance of redundant nodes and high sampling rate tend to burden the data processing of the whole IoT system and increase the power consumption of the system

Method used

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  • Node value prediction method based on temperature sensor in Internet of Things
  • Node value prediction method based on temperature sensor in Internet of Things
  • Node value prediction method based on temperature sensor in Internet of Things

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Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0035] refer to figure 1 As shown, a temperature sensor-based node value prediction method in the Internet of Things in the embodiment of the present invention is implemented through the following steps.

[0036] S1: Node deployment and historical data collection;

[0037] The deployment of sensor nodes needs to consider science and effectiveness. For example, deploying a temperature sensor in a room needs to consider the effective temperature area of ​​the room, such as the area near the window and the shady area. At the same time, the area with little temperature change in the same room also needs to Deploy temperature sensors. When the deployment is complete, let the sensor run at a high sampling rate and collect data.

[0038] S2: data screening;

[0039] ...

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Abstract

The embodiment of the invention discloses a node value prediction method based on a temperature sensor in the Internet of Things. The method comprises the steps of acquiring node deployment and historical data; screening data; improving a linear programming algorithm; and carrying out algorithm solution based on a Matlab platform. According to the method and the device, the historical data is processed and analyzed, and a certain node value in the Internet of Things environment is predicted according to the collected historical node values, so that the deployment of the sensor nodes in the Internet of Things environment can be optimized, and the overall power consumption of the Internet of Things system can be effectively reduced.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a temperature sensor-based node value prediction method in the Internet of Things. Background technique [0002] The traditional Internet of Things system has two characteristics. On the one hand, it needs to deploy a large number of sensor nodes to collect data. At the same time, the deployed nodes often have redundancy, which is to ensure the safety of the system. On the other hand, the Internet of Things system has high the sampling rate. The maintenance of redundant nodes and high sampling rate tend to burden the data processing of the whole IoT system and increase the power consumption of the system Contents of the invention [0003] The technical problem to be solved by the embodiments of the present invention is to provide a temperature sensor-based node value prediction method in the Internet of Things. It can effectively predict the target node value i...

Claims

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Application Information

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IPC IPC(8): H04W16/22H04W24/04H04W4/38H04W4/70
CPCH04W16/225H04W24/04H04W4/38H04W4/70
Inventor 符志华李昇平
Owner SHANTOU UNIV
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