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Cluster head node selection method and clustering method of wireless sensor network

A wireless sensor and cluster head node technology, applied in network topology, wireless communication, advanced technology, etc., can solve problems such as single consideration factors, uneven distribution of cluster heads, and failure to form a backbone network, so as to extend the life cycle and selection process simplified effect

Active Publication Date: 2014-11-05
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

In the LEACH algorithm, the probability of each node becoming a cluster head is almost equal, so the LEACH algorithm achieves a good energy balance in terms of node energy, but the shortcoming of this algorithm is that it does not consider the geographical location of the cluster head node. Moreover, the distribution of cluster heads is uneven, so it is possible that the distance between two cluster heads exceeds the maximum communication range of nodes, which may cause the entire backbone network to fail to form
[0008] In summary, the existing cluster head selection algorithms generally have the disadvantages of single consideration factors and failure to prolong the life cycle of wireless sensor networks to the greatest extent.

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  • Cluster head node selection method and clustering method of wireless sensor network
  • Cluster head node selection method and clustering method of wireless sensor network
  • Cluster head node selection method and clustering method of wireless sensor network

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Embodiment Construction

[0024] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0025] Aiming at the deficiencies of the prior art, the present invention comprehensively considers the position distribution of nodes and the impact of residual energy on the entire network life cycle when selecting cluster head nodes, and uses a fuzzy algorithm to fuse the position information and residual energy information of nodes into Quantified priority parameters, and then achieve more reasonable cluster head node selection and cluster division, and finally achieve the purpose of extending the life cycle of wireless sensor networks.

[0026] Fuzzy rules embody the characteristics of the human brain to recognize and judge things, and change digital and precise judgments into subordinate and fuzzy judgments. It fuzzifies the so-called judgment criteria, which can be used to solve similar fusion problems of many different types of parameters. In t...

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Abstract

The invention discloses a cluster head node selection method of a wireless sensor network, belonging to the technical field of wireless sensor networks. The present invention aims at defects in the prior art, when cluster head nodes are selected, influence of position distribution and residual energy of the nodes on the life cycle of the whole network is comprehensively considered, and position information and residual energy information of the nodes are fused to quantized priority parameters by utilizing a fuzzy algorithm, so that more reasonable selection of the cluster head nodes is implemented. The invention also discloses a clustering method of the wireless sensor network, the cluster head nodes are selected by utilizing the method, and dynamic regulation is carried out on the cluster head nodes in a self-adaptive manner according to the energy consumption condition of the cluster head nodes. In comparison with the prior art, the cluster head node selection method and the clustering method of the wireless sensor network have the advantages of capability of effectively improving the life cycle of the wireless sensor network and simpler algorithm.

Description

technical field [0001] The invention relates to a wireless sensor network cluster head node selection method and a clustering method, belonging to the technical field of wireless sensor networks. Background technique [0002] In wireless sensor networks, measuring the life cycle of a sensor network is usually determined according to the remaining energy of nodes. The life cycle of a sensor network is from the time when the network starts to work until the energy of the nodes appearing in it returns to zero. Therefore, in order to prolong the life cycle of the entire sensor network, it is extremely important to reasonably control the energy consumption of nodes. [0003] According to the network topology, the node provides message receiving and forwarding services for the neighbor nodes in the current transmission domain. With the transmission of data traffic, the energy consumption of the wireless transceiver of the node and the idle time overhead of the communication modul...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W40/10H04W84/18
CPCY02D30/70
Inventor 刘林峰李晟吴家皋周剑
Owner NANJING UNIV OF POSTS & TELECOMM
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