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Topology Construction Method for Wireless Sensor Networks Based on Multiple Linear Regression Model

A multiple linear regression, wireless sensor technology, applied in the field of optical communication, can solve problems affecting network energy balance and link stability, limited node degree, negative impact on network connectivity and stability, etc., to improve connectivity and stability. The effect of eliminating the limitation of node degree and solving the energy imbalance

Active Publication Date: 2021-06-01
XIDIAN UNIV
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Problems solved by technology

However, this invention considers the optimal routing selection in the case of potential links to solve the problem of limited node degrees, and does not fundamentally solve the problem of limited node degrees. If there are no potential links, the invention There is still the problem of limited node degree, which further affects the energy balance and link stability of the network, and has a negative impact on the connectivity and stability of the network

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  • Topology Construction Method for Wireless Sensor Networks Based on Multiple Linear Regression Model
  • Topology Construction Method for Wireless Sensor Networks Based on Multiple Linear Regression Model
  • Topology Construction Method for Wireless Sensor Networks Based on Multiple Linear Regression Model

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Embodiment Construction

[0035] Below in conjunction with accompanying drawing and embodiment, the present invention is described in further detail:

[0036] A wireless sensor network includes a wireless optical network and a microwave network, and this embodiment uses a wireless optical network for illustration.

[0037] refer to figure 1 , the present invention comprises the following steps:

[0038] Step 1) initialize the wireless optical network;

[0039] Before the wireless optical network is initialized, each node is an isolated node, and each node does not know the information of other nodes in the network. Therefore, it is necessary to initialize the wireless optical network in order to obtain the information of other nodes in the network, and then determine the cluster head and Non-cluster head nodes, so as to determine each management area in the wireless optical network.

[0040] Step 1.1) The wireless optical network node determines its own information:

[0041] Each node D i Make sur...

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Abstract

The present invention proposes a wireless sensor network topology construction method based on a multiple linear regression model, which aims to improve the connectivity and stability of the network by eliminating the limitation of node degrees in the network. The implementation steps are: initialize the wireless sensor network ;Collect the training data set of the multiple linear regression model by initializing the network, and construct the multiple linear regression model of the number of non-cluster head nodes in the management area according to the training data set; the cluster head calculates the non-cluster head nodes in its management area according to the multiple linear regression model The number and average node degree, the cluster head establishes a communication link with the non-cluster head nodes in the management area in a multi-hop manner with the maximum number of hops as the average node degree, and finally forms a wireless sensor network topology. The invention calculates the number of non-cluster-head nodes in the cluster-head management area through a multiple linear regression model to determine the node degree in the cluster-head, aims to eliminate the problem of node degree limitation, and improve the connectivity and stability of the network.

Description

technical field [0001] The invention belongs to the technical field of optical communication, relates to a communication network networking technology, in particular to a wireless sensor network topology construction method based on a multiple linear regression model, which can be used for a wireless sensor network with a limited node degree. Background technique [0002] A wireless sensor network (Wireless Sensor Networks, WSN) is a distributed sensor network, the end of which is a sensor that can perceive and inspect the outside world, and the sensors in the WSN communicate wirelessly, including wireless laser communication, microwave communication and visible light. Communication and other wireless communication technologies have the advantages of flexible networking and low cost. However, since the nodes in the WSN are not stationary but constantly moving, the access degree of the nodes in the WSN is constantly changing, which will inevitably lead to the problem of a rel...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W40/04H04W40/10H04W40/32H04W84/18H04L12/24
CPCH04L41/12H04L41/145H04W40/04H04W40/10H04W40/32H04W84/18
Inventor 赵培尚韬高妍刘元皓
Owner XIDIAN UNIV