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A Data Fusion Scheduling Algorithm for Wireless Sensor Networks with Joint Optimization of Delay and Power Consumption

A wireless sensor network and data fusion technology, applied in the field of wireless sensor networks, can solve the problems of only considering node energy consumption and ignoring the real-time and priority requirements of perceived data, so as to reduce data transmission delay and avoid transmission time. Delay and avoid the effect of link conflict

Active Publication Date: 2021-02-09
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +3
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Problems solved by technology

However, the existing sensor network data fusion scheduling schemes only consider node energy consumption, ignoring the potential real-time and priority requirements of sensing data

Method used

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  • A Data Fusion Scheduling Algorithm for Wireless Sensor Networks with Joint Optimization of Delay and Power Consumption
  • A Data Fusion Scheduling Algorithm for Wireless Sensor Networks with Joint Optimization of Delay and Power Consumption
  • A Data Fusion Scheduling Algorithm for Wireless Sensor Networks with Joint Optimization of Delay and Power Consumption

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Embodiment Construction

[0031] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0032] Such as figure 1 As shown, the wireless sensor network data fusion scheduling algorithm for joint optimization of time delay and power consumption in the present invention includes steps:

[0033] (1) Construct data fusion clusters;

[0034] The present invention adopts a data fusion cluster construction algorithm based on two-level sub-transmission power, such as figure 2 As shown, after assigning the transmission radius and channel to the sensor nodes, the topology of the network can be expressed as G=(V,E). Among them, V is the set of sensor nodes, and E is the set of connected edges of network nodes. If and only if the sensor node v is within the transmission range of u, the connecting edge between the sensor node v and u can be expressed as (u, v) ∈ E. In each data fusion cluster, the cluster head node is resp...

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Abstract

The invention discloses a wireless sensor network data fusion scheduling algorithm for joint optimization of time delay and power consumption. Firstly, through cluster head node selection and fusion routing trunk tree construction, routing nodes are significantly reduced, and additional data multi-hop transmission is reduced. Power consumption and delay; a two-level transmission power data fusion cluster construction algorithm is proposed. In each fusion cluster, the cluster head node is responsible for the data fusion of the sensor nodes in the cluster; the data of the cluster head is reduced by compressing redundant data and reducing the dimensionality. Transmission volume to reduce transmission power consumption; a data fusion scheduling algorithm within and between clusters is proposed, and factors such as transmission delay and data deposition volume are comprehensively considered to effectively avoid link conflicts and ensure real-time transmission of perceived data.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks, and in particular relates to a wireless sensor network data fusion scheduling algorithm for joint optimization of time delay and power consumption. Background technique [0002] At present, the Internet of Things technology is showing a rapid development momentum. As an important part of its perception layer, wireless sensor network technology has been widely used in smart grids, environmental detection and other fields. The wireless sensor network is composed of a large number of sensor nodes with wireless communication functions, which can perceive and monitor smart grid equipment in real time, collect various status data of transmission lines, and send them to the processing center for further processing and application. Compared with traditional networks, wireless sensor networks have distinct characteristics in the energy of nodes. Specifically, most of the sensor nodes are powered b...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W28/02H04W40/04H04W40/32H04W84/18
CPCH04W28/0221H04W28/0236H04W40/04H04W40/32H04W84/18Y02D30/70
Inventor 路永玲胡成博刘洋徐江涛陈舒姜海波高超李鸿泽贾骏刘子全张照辉徐阳黄强李杰庞振江王峥孙海全李良
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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