Clustering method based on business volume weight

Abstract

The invention relates to a clustering method based on business volume weight. The nodes are divided into a plurality of clusters, the node with the maximum weight value is selected as a cluster head according to the weight and the basis generated by common nodes in the clusters, if the rest nodes are in the cluster head communication range and the weight value is smaller than that of the cluster head nodes, the common nodes in the clusters communicate with the cluster head, and the cluster heads communicate with one another. Compared with other clustering algorithms, the method has lower time delay, faster scheduling and higher cluster head channel utilization rate. Meanwhile, on the basis, the distribution uniformity of the cluster heads is considered, energy waste caused by the fact that the number of cluster head nodes is not too large is maintained, frequency band distribution is considered, and the network utilization rate is increased.

Description

technical field [0001] The invention relates to the design of a clustering method for underwater acoustic network nodes, belongs to the field of clustering algorithms for underwater acoustic networks, and is suitable for the clustering scheme of the underwater acoustic network with prior business volume. Background technique [0002] The full name of UASN is Underwater Acoustic Sensor Network, which is an underwater acoustic sensor network, which is widely used in civil activities, such as marine resource development, environmental exploration, etc.; and military tasks, such as surveillance, anti-submarine detection, anti-mine missions, etc., are of great significance and research value. Considering that in the underwater acoustic sensor network, as the communication distance increases, due to the limitation of the propagation speed of the underwater acoustic signal, synchronization is more difficult, which is likely to cause information congestion and conflicts. At the sam...

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Problems solved by technology

[0007] At present, the clustering method generally only considers the purpose of saving energy, and considers less about other goals. At the same time, the MAC protocol under the clustering condition is based on the clustering that has been completed and the clustering is extremely ideal. Design, but there is no clustering method at home and abroad to design a clustering algorithm that cooperates with and combines the design of the MAC protocol

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