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Data aggregation method in wireless sensor network

A wireless sensor and data fusion technology, applied in network topology, wireless communication, advanced technology, etc., can solve the problems of reducing network data traffic and poor fusion effect

Inactive Publication Date: 2010-09-15
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Generally speaking, the longer the fusion time, the more data obtained during the time period, the more accurate data can be obtained, and the more effective the data traffic of the network can be reduced; the shorter the fusion time, the more data obtained. The less, the less effective the fusion

Method used

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Examples

Experimental program
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Embodiment Construction

[0095] figure 1 An example distribution of initial nodes is given with 100 numbers N i The nodes of (i∈(1, 100)) are randomly distributed in the plane area of ​​400m×400m, and the sink node is recorded as N 0 , located at 80 metres. Figure 2 is the situation after clustering. How to cluster and select the cluster head will be introduced later. image 3 After the clustering is given, how the data is transmitted to the Sink node on the tree.

[0096] The first step is network initialization.

[0097] At this stage, the network is divided into clusters with different numbers of nodes according to a fixed radius, and each cluster has a unique number C i (i∈(1,100)), the number is the same as the number of the first cluster head, and the cluster number is used for inter-cluster communication. The energy consumption model that the inventive method adopts is as Figure 7 shown. In the energy consumption model, the energy consumption of the transmitting end is composed of two p...

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Abstract

The invention relates to a data aggregation method in a wireless sensor network, in particular to a tree-based and time-controlled data aggregation (TBTCDA) method in the wireless sensor network. Under the situation that information on a node position is undetermined, the data aggregation is performed to fulfill the aim of reducing network traffic and node energy consumption and balancing a contradiction between data aggregation accuracy and communication time delay. The method specifically comprises the following steps of: firstly, initializing a network; secondly, initiating a notice of establishing an aggregation tree by Sink; and finally, controlling aggregation time, data acquisition and aggregation, wherein the third step comprises the following steps of: 31) evaluating unit time delay Ta when all nodes participate in aggregation; and 32), setting Ta and the aggregation accuracy P according to an application demand, or receiving data acquired by Ci nodes by a cluster and transmitting aggregated data to a father cluster by a cluster head.

Description

technical field [0001] The invention provides a data fusion method in a wireless sensor network, which belongs to the field of wireless sensor networks. Background technique [0002] The goal of ubiquitous computing (Ubiquitous Computing or Pervasive Computing) is to establish an environment full of computer and communication capabilities, which is the fusion of information space and physical space. In this fusion space, people can transparently obtain digital services anytime, anywhere. At present, the wireless sensor network composed of spatially distributed sensor nodes is the main support for ubiquitous computing. Its nodes are equipped with sensing and communication devices. Through mutual cooperation, they can provide contextual data required for situational awareness for ubiquitous computing. For example, location, light, temperature and physical signs information. However, sensor nodes are usually limited in terms of energy, communication, computing, and storage cap...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W40/10H04W40/24H04W84/18
CPCY02D30/70
Inventor 王汝传宋立森叶宁马守明黄小桑孙力娟黄海平肖甫沙超凡高娟郭剑
Owner NANJING UNIV OF POSTS & TELECOMM
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