Clustering sensor network data collection method based on bp-like neural network

A BP neural network and data collection technology, which is applied in wireless sensor network data collection and wireless communication, can solve the problems of energy loss of cluster head nodes, increase the total number of network hops, and reduce the network life cycle, so as to reduce the total number of transmission hops , reduce the overall delay and prolong the life cycle
CN104837155BActive Publication Date: 2016-08-31XIANGTAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIANGTAN UNIV
Publication Date
2016-08-31

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Abstract

The invention provides a back propagation (BP) neural network type clustered sensor network data collection method. A monitored wireless sensor network is initialized first, the geographic center position of the network is searched according to the GPS information of a node, a network cluster-head node is elected according to the positional information of the node, and a cluster is constructed, then a back propagation neural network model is established by a completed clustered network, finally, the clustering number of the network is dynamically adjusted according to the total transmission hop count of the network until the network reaches a stable state and has an optimal cluster-head number. The back propagation neural network type clustered sensor network data collection method is suitable for networks in different scales, and can collect network data with an optimal clustering number, and is advantaged in that the energy consumption of the network is reduced, the service cycle of the network can be prolonged, and network delay can be reduced and the like.
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Description

technical field

[0001] The invention mainly relates to the field of wireless communication, in particular to the field of wireless sensor network data collection. Background technique

[0002] Wireless Sensor Network (WSN, Wireless Sensor Network) technology has been widely used under the background of the current rapid development of wireless communication technology. The network is generally composed of a large number of energy-constrained sensor nodes and one or several base stations. Each sensor node is randomly deployed in the area to be monitored to form an ad hoc network for sensing and collecting data. The cluster-based sensor network collects data in units of clusters. Firstly, the network sensor nodes are divided into different clusters, and the cluster head nodes are elected in the cluster to fuse the data. Secondly, multiple cluster heads transmit the fusion data to the sink node to complete the data collection.

[0003] BP neural network (Back Propagation Neura...

Claims

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