A Hybrid Energy Center Cluster Method Based on Energy Supply

Abstract

The invention discloses a hybrid energy center cluster method based on energy supply, which includes: determining the monitoring area of ​​the wireless sensor network, the number of nodes and the initial energy of the nodes; layering the wireless sensor network, and determining the location where each node is located Hierarchy; calculate the initial level value of each node in the first round, compare the initial level value of each node in the first round with the threshold, and determine the set of expected cluster heads; determine the number of clusters in the wireless sensor network, and combine each expected cluster The deployment position of the head and the initial level value of the first round of nodes select the cluster head set of the first round, and then complete the clustering according to the principle that the node joins the nearest cluster head; keep the members in the cluster unchanged and calculate the cluster head set of the member nodes in the cluster level value, select the node with the largest level value in the cluster as the new cluster head; calculate the forwarding degree level value of the surrounding cluster heads, select the cluster head corresponding to the largest forwarding degree level value as the forwarding node, and determine the transmission path. Based on the sense of network life, improve the service quality of the entire network.

Description

technical field [0001] The invention relates to the technical field of a hybrid clustering method with energy collection nodes in a wireless sensor network, in particular to a hybrid energy center clustering method based on energy supply. Background technique [0002] Wireless Sensor Networks (WSNs) is a distributed sensor network, which is composed of nodes with sensing and detection functions. These nodes not only collect and process data in a specific area, but also forward the data of surrounding nodes to the base station. Nodes in the network communicate in a wireless, multi-hop manner. Since the communication between nodes does not require wired devices, it has the advantages of small capacity, low cost, low power consumption and strong self-organization ability, and is widely used in military, environment, health, family and other commercial fields. Of course, in special fields such as regional exploration, sensor networks also have their unique technical advantages...

AI Technical Summary

Problems solved by technology

However, in the existing ECCR method, it is simply how these one-time nodes use the existing energy to better maintain the life of the network, and does not consider the situation that the nodes have energy supply

In addition, when data is forwarded after the entire network is clustered, there is no further layering, so the optimization degree of the method is not high

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