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Wireless sensor node task time slot scheduling method based on matrix completion

A wireless sensor and time slot scheduling technology, applied in wireless communication, advanced technology, electrical components, etc., can solve problems such as node energy waste, achieve the effects of reducing energy consumption, prolonging network life, and increasing the number of dormant time slots

Active Publication Date: 2020-11-17
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the problem of node energy waste caused by redundant sampling in wireless sensor networks with large-scale node deployment, this paper proposes an energy-saving scheduling scheme for wireless sensor node sampling time slots

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  • Wireless sensor node task time slot scheduling method based on matrix completion
  • Wireless sensor node task time slot scheduling method based on matrix completion
  • Wireless sensor node task time slot scheduling method based on matrix completion

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Embodiment Construction

[0019] Specific embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present disclosure, and are not intended to limit the present disclosure.

[0020] Such as figure 1 and Figure 4 As shown, the present invention provides a process based on the task time slot model of the node, reduces the number of sampling tasks performed by the node through the random sparse sampling method, and then completes the missing sampling data through matrix completion, reducing the overall network The energy consumption level of the present invention will be introduced in detail next in conjunction with the specific accompanying drawings.

[0021] In the application of wireless sensor environment monitoring, the sampling data tends to change continuously and smoothly with time, so the sampling data corresponding to th...

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Abstract

The invention discloses a wireless sensor node task time slot scheduling method based on matrix completion, and the method comprises the steps: dividing the continuous working time of a node into different task time slots through taking a sampling time slot as a unit based on the time correlation and low-rank characteristics of sampling data of a wireless sensor node in an environment monitoring application; the energy consumption of the node is reduced and the battery life of the node is prolonged by reducing the frequency of executing a sampling task time slot by the node; constructing a sampling matrix of wireless sensor nodes at a coordinator end, reconstructing a node sampling matrix subjected to data reduction by utilizing a singular value threshold algorithm, ensuring that completenode sampling data is provided for a user, and meanwhile, meeting the requirement of low-power-consumption operation of the wireless sensor network nodes; designing a singular value threshold algorithm of dynamic correction amplitude, adjusting the correction amplitude according to the reconstruction recovery precision of the sampling matrix, reducing the iteration frequency of matrix reconstruction, shortening the reconstruction time of the sampling matrix, and improving the algorithm performance.

Description

technical field [0001] The invention belongs to the technical field of low-power short-distance wireless networking communication, and specifically relates to a wireless sensor node task time slot scheduling method using matrix complementation technology, which reduces the wireless sensor node energy by randomly sparsely selecting sampling based on the task time slot of the node. consumption. Background technique [0002] For the energy consumption of wireless sensor networks deployed by large-scale nodes, there have been many researches on low-power strategies from the perspective of network protocols, such as energy-saving routing schemes, topology control, and MAC layer protocols. However, the most intuitive way is to consider reducing the amount of data transmission in the network from the perspective of the application layer, thereby reducing the number of sampling transmissions of nodes, keeping nodes in a dormant state as much as possible, and reducing energy consumpt...

Claims

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Application Information

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IPC IPC(8): H04W72/04H04W84/18H04W52/02
CPCH04W72/0446H04W84/18H04W52/0261Y02D30/70
Inventor 杨鲲万维祥范新宇梅海波
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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