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Data collection method base on compression sensing in wireless sensor network environment monitoring

A wireless sensor and environmental monitoring technology, applied in network topology, wireless communication, advanced technology, etc., can solve the problem that the accuracy of restoration cannot be guaranteed

Active Publication Date: 2012-12-26
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method saves energy consumption and storage space, but due to irregular environmental changes, the fixed-period collection method cannot guarantee the accuracy of restoration

Method used

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  • Data collection method base on compression sensing in wireless sensor network environment monitoring
  • Data collection method base on compression sensing in wireless sensor network environment monitoring
  • Data collection method base on compression sensing in wireless sensor network environment monitoring

Examples

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Embodiment Construction

[0066] Application scenario: Monitoring environmental changes in a given 7.2m*6m area for 10 consecutive days through a wireless sensor network, 16 collection points, and a time slot length of 1 minute, requiring the restoration error to be within 5%.

[0067] Prototype system and comparison system: In this embodiment, a total of 51 TelosB wireless sensor nodes are used to monitor the temperature, humidity and light of the environment, and the transmission works in the 2.4GHz frequency band through the 802.15.4 Zigbee protocol. The 51 nodes are divided into 3 groups, each group has 17 nodes, and ABC is used to distinguish the groups. Such as figure 2 , 3 As shown, each group has 1 node as a sink node, which is directly connected to the laptop; the other 16 nodes are used to collect and transmit environmental data. In the environmental monitoring area, 16 collection points are selected in a 4*4 grid, with a horizontal spacing of 2.4m and a vertical spacing of 2 meters. Each...

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Abstract

The invention provides a data collection method base on compression sensing in wireless sensor network environment monitoring. The principles which the data collection method is based on are compression sensing and time sequence prediction. The collection probability and the work / dormancy duty ratio can be dynamically adjusted through collected environmental data so as to achieve the purpose of using least data collection to recover the total environment with given accuracy requirements. The data collection method is easy to implement, high in recovery accuracy, small in data collation amount and small in energy and stored resource consumption.

Description

technical field [0001] The present invention relates to a wireless sensor network technology for environmental monitoring, especially a data collection method with low power consumption and low storage space, in particular to a data collection method based on compressed sensing in wireless sensor network environmental monitoring. Background technique [0002] One of the main applications of wireless sensor networks is long-term monitoring of the environment. Environmental monitoring is to collect data through a distributed sensor network within a period of time and to restore the process of environmental changes with high precision. Therefore, data collection is an essential process in environmental monitoring. Data collection involves three indicators: energy consumption, storage space, and restoration accuracy. [0003] Energy consumption: Since the nodes of the wireless sensor network usually use batteries, it is not easy to replace or recharge the batteries after distr...

Claims

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Application Information

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IPC IPC(8): H04W52/02H04W84/18
CPCY02B60/50Y02D30/70
Inventor 孔令和刘小洋薛广涛伍民友
Owner SHANGHAI JIAO TONG UNIV
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