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Data fusion scheduling algorithm for wireless sensor network with jointly optimized time delay and power consumption

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

Active Publication Date: 2019-04-12
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

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  • Data fusion scheduling algorithm for wireless sensor network with jointly optimized time delay and power consumption
  • Data fusion scheduling algorithm for wireless sensor network with jointly optimized time delay and power consumption
  • Data fusion scheduling algorithm for wireless sensor network with jointly optimized time 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 data fusion scheduling algorithm for a wireless sensor network with jointly optimized time delay and power consumption. Firstly, a cluster head node is selected and a fusionrouting trunk tree is constructed to obviously decrease routing nodes and reduce additional power consumption and delay brought by data multi-hop transfer; a data fusion cluster construction algorithmof two-level transmission power is proposed, and, in each of the fusion clusters, the cluster head node is responsible for the data fusion of sensor nodes in the clusters; the compression and dimensionality reduction of redundant data decreases the data transfer volume of the cluster head to reduce the transmission power consumption; and an in-cluster and inter-cluster data fusion scheduling algorithm is proposed to comprehensively consider the factors such as transmission time delay and data deposition, thereby effectively avoiding link conflicts, and ensuring the real-time transmission of perception 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...

Claims

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Application Information

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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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