Nodes and cluster-head node selection method in body area network

Abstract

The invention relates to the technical field of a body area network, and discloses nodes and a cluster-head node selection method in the body area network. The selection method comprises the steps of sending each node broadcasting message in the body area network, wherein the message comprises remaining energy information and data volume information of broadcasting nodes; determining channel state information with the nodes broadcasting the message by the nodes which receive the message; and determining cluster-head nodes based on the remaining energy information, the data volume information and the channel state information of each node. Therefore, the impact of a channel state among the nodes, data volume of sensor nodes and remaining energy on a life cycle of the whole body area network can be considered more reasonably and comprehensively; the network failure due to a fact that a single sensor node has no energy is avoided; and the life cycle of the whole body area network is effectively prolonged.

Description

technical field [0001] The present invention relates to the field of body area network technology, in particular to a method for selecting nodes and cluster head nodes in the body area network. Background technique [0002] A medical body area network (such as a medical wireless body area network) is a network composed of several nodes (such as sensor nodes) attached to the human body. The wireless body area network uses medical sensors to collect and monitor the physiological information, and can transmit the physiological information to the remote monitoring platform through wireless communication, so that doctors can remotely diagnose diseases of patients. Specifically, the sensor node has the functions of collecting data, processing data, storing data, and wirelessly sending data. It can collect human physiological parameters and send the collected human physiological parameters to the cluster head node through the wireless transmission module. The cluster head node is ...

AI Technical Summary

Problems solved by technology

[0005] However, in the existing cluster head selection algorithms, such as GAF algorithm and LEACH algorithm, the selection of cluster head nodes is randomly determined, and the probability of each node becoming a cluster head is almost equal, so the existing cluster head selection algorithm Some nodes with low energy may be selected as cluster heads, thus shortening the life cycle of the entire body area network

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