Spatial Correlation Subcluster Formation Method Based on Frequent Items in Wireless Sensor Networks
A wireless sensor and cyberspace technology, applied in wireless communication, network topology, electrical components, etc., can solve problems such as high energy consumption and data redundancy, and achieve the effect of reducing network energy consumption and data traffic.
Active Publication Date: 2017-11-21
STATE GRID CORP OF CHINA +1
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[0004] The purpose of the present invention is to provide a method for forming sub-clusters of wireless sensor network space relevance based on frequent items, so as to solve the problem of high energy consumption caused by data redundancy caused by all nodes in the cluster sensing and reporting data in the existing clustering method
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[0035] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.
[0036] Cluster-based wireless sensor network data collection, the nodes in the cluster periodically transmit sensing data to the cluster head node, and the cluster head node aggregates the data and transmits it to the base station node. The wireless sensor network structure is represented by graph G(S, H, B), where S represents the sensor node, H represents the cluster head node, and B represents the base station node. The wireless sensor network consists of N sensor nodes, and each node is denoted as S i , i∈{1,2,...,N}. The clustering routing protocol divides the wireless sensor network into disjoint clusters, each node in the network belongs to a cluster, each cluster has a cluster head node, and the node selected as the cluster head is denoted as h i , the set of cluster head nodes is denoted by H, H={S i | h i = S i}. h i = S i ...
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The invention relates to a method of forming spatial correlation sub-clusters of wireless sensor network based on frequent items and belongs to the technical field of wireless sensor communication. The method comprises the steps: dividing a cluster into a plurality of sub-clusters in accordance with the correlation according to the correlation among the nodes of a data mining cluster acquired by the cluster nodes, and choosing sampling nodes in the sub-clusters to sense and report the data; choosing more than one sampling node from at least one sub-cluster in each cluster and dynamically and randomly choosing the sampling nodes; performing sensor dispatching for cluster head nodes according to the correlation of the nodes and dynamically adjusting the correlation of the cluster nodes along with the changing of the environment. According to the method of forming the spatial correlation sub-clusters of wireless sensor network based on the frequent items, the correlation of the cluster nodes are excavated by using the frequent items; the cluster is divided into a plurality of mutually disjointed sub-clusters according to the correlation, so that the time sequences acquired by the nodes of the sub-clusters are similar to each other; the updating times of the sensor nodes in the sub-clusters are controlled according to the time sequences, the data communication amount is reduced and the energy consumption of the network is reduced.
Description
technical field [0001] The invention relates to a frequent item-based method for forming sub-clusters of wireless sensor network space relevance, and belongs to the technical field of wireless sensor communication. Background technique [0002] Periodic data collection is one of the important applications of wireless sensor networks. Sensor nodes periodically perceive environmental information and transmit the perceived data to base station nodes. Sensor nodes need to transmit large amounts of data. Compared with sensor node perception and computing operations, data transmission consumes more energy. Deborah Estrin pointed out that the energy required by a sensor node to transmit 1 bit information over a distance of 100m is approximately equivalent to the energy consumed by executing 3000 computing instructions. Sensor nodes have limited energy. Therefore, in order to prolong the life cycle of wireless sensor networks, it is of great significance to study how to reduce the...
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IPC IPC(8): H04W24/04H04W40/24H04W84/18
CPCH04W24/04H04W40/248H04W84/18
Inventor 申京郝洋肖玉杰李永杰王正吴晨光
Owner STATE GRID CORP OF CHINA