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Method for extending wireless sensor network life cycle based on redundant node-tree

A wireless sensor and redundant node technology, applied in the field of wireless communication, can solve the problems that the life cycle cannot be improved, and the performance improvement has not been improved.

Inactive Publication Date: 2008-08-27
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Even if the research on the utilization of redundant nodes is only limited to the periodic replacement of active nodes and redundant nodes to improve the life cycle of corresponding nodes, but for active nodes without redundant nodes in the cluster, this research is useful for this The performance improvement of class nodes has not been improved nor involved, and the life cycle of the entire wireless sensor network is the performance parameter for all nodes, that is, the minimum value of the node life cycle is taken. Therefore, similar algorithms can be used for the entire network under the premise of ensuring coverage life cycle cannot be improved

Method used

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  • Method for extending wireless sensor network life cycle based on redundant node-tree
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  • Method for extending wireless sensor network life cycle based on redundant node-tree

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Experimental program
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Effect test

Embodiment 1

[0053] according to figure 1 , the basic flow of the general EERNT algorithm is as follows figure 2 As shown, the basic steps are as follows:

[0054] (1) Obtain the geographic location and coverage of each node, so as to find and identify each redundant node;

[0055] (2) After the redundant node identification is completed, select a redundant node in a relatively "uniform" position in the cluster (determined according to the density deviation and sparsity deviation of the redundant node) from each cluster, and establish a redundant node. Node tree EERNT, thus ensuring that each redundant node can know its own superior node or base station;

[0056] (3) After the redundant node identification is completed and EERNT is built, each node cluster head and cluster members are notified of the redundant nodes on the redundant node tree in the cluster;

[0057] (4) After the current cluster head node receives the sensor sensing information of other cluster members, it uses the da...

Embodiment 2

[0061] There is a wireless sensor network, the structure is relatively simple as image 3 As shown, that is, the entire network is divided into three clusters 1, 2, and 3. Each cluster is directly connected to the base station, but there are multiple redundant nodes in the cluster. In this case, the basic steps of the EERNT algorithm are as follows:

[0062] (1) The base station node or the management node obtains the geographic location and coverage of each node, thereby finding and identifying the redundant nodes of clusters 1, 2, and 3;

[0063] (2) After the redundant nodes of clusters 1, 2, and 3 are marked, notify the cluster heads and cluster members of clusters 1, 2, and 3 respectively;

[0064] (3) After the current cluster head node receives the sensor sensing information of other cluster members, it uses the method of data aggregation to converge the sensing information;

[0065] (4) After the current cluster head node completes data convergence, it sends the data ...

Embodiment 3

[0069] There is a wireless sensor network with a relatively complex structure such as Figure 5 As shown, that is, the entire network is divided into twelve clusters, each cluster is quite different from the base station. Clusters 1, 5, and 9 are relatively close and are directly connected to the base station; , 10, 11, 12 are far away from the base station, and the multi-hop form is used to transmit information to the base station, but there is at least one redundant node in each cluster. The basic steps of the EERNT algorithm in this case are as follows:

[0070] (1) The base station node or the management node obtains the geographical location and coverage of each node, thereby finding and identifying each redundant node;

[0071] (2) Judging the uniformity of redundant nodes in the cluster, selecting the node with the highest uniformity, and constructing an optimized redundant node tree EERNT;

[0072] (2) After the redundant node identification is completed, notify the c...

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Abstract

The method based on redundant node tree to prolong wireless sensor network lifetime comprises: obtaining local position of every node to find out and label redundant node; selecting one redundant node on mean location from every node cluster to build node tree and ensure every node know self last node or base station; when receiving information from other member, applying the current cluster node to converge information and decrease need energy; then, sending data to neighbor redundant node to select last node or base station for transmission; continuing till the base station.

Description

technical field [0001] The invention relates to a method for extending the life cycle of a wireless sensor network based on a redundant node tree, and belongs to the technical field of wireless communication. Background technique [0002] Wireless sensor network is an emerging technology, which completely adopts distributed processing and has many advantages such as high monitoring accuracy, good fault tolerance, large coverage area, and remote monitoring. However, the most important feature or disadvantage of wireless sensor network is the node The battery energy carried cannot be supplemented and is limited by volume and cost, and the energy is relatively small, which is the "bottleneck" problem of the current wireless sensor network application [1]. Therefore, under the premise of performing guaranteed monitoring tasks, reducing energy consumption and improving the life cycle of the entire network is a research focus of wireless sensor networks. Because of the characteri...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/28H04L12/24
CPCY02B60/50
Inventor 张振江
Owner BEIJING JIAOTONG UNIV