High-density wireless sensor network clustering method based on random channel

The invention provides a random channel-based high-density wireless sensor network clustering method, which is characterized in that a clustering thought is applied to a LoRa network, receiving channel numbers of all terminal nodes in the network are randomly generated in an initialization stage of...

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Bibliographic Details
Main Authors ZHU HANGBIAO, MA QIANLI
Format Patent
LanguageChinese
English
Published 30.05.2023
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Summary:The invention provides a random channel-based high-density wireless sensor network clustering method, which is characterized in that a clustering thought is applied to a LoRa network, receiving channel numbers of all terminal nodes in the network are randomly generated in an initialization stage of a communication network, and probability weights of the terminal nodes are adjusted according to energy levels of the terminal nodes. On the basis of a cluster head node generation method, residual energy is added in threshold calculation to serve as a weight parameter, a node with more residual energy has a higher probability to be selected as a cluster head node, the cluster head node broadcasts information serving as a cluster head in a channel number where the cluster head node is located, and other nodes in the channel feed back a cluster network adding application to the cluster head node. Through the optimized clustering strategy, the channel congestion problem of the high-density wireless sensor network is
Bibliography:Application Number: CN202310348632