Xinliang Tang1, Man Zhang1, Pingping Yu1, Wei Liu2, Ning Cao3, *, Yunfeng Xu4
CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1725-1739, 2020, DOI:10.32604/cmc.2020.010272
Abstract In a large-scale wireless sensor network (WSN), densely distributed sensor
nodes process a large amount of data. The aggregation of data in a network can consume
a great amount of energy. To balance and reduce the energy consumption of nodes in a
WSN and extend the network life, this paper proposes a nonuniform clustering routing
algorithm based on the improved K-means algorithm. The algorithm uses a clustering
method to form and optimize clusters, and it selects appropriate cluster heads to balance
network energy consumption and extend the life cycle of the WSN. To ensure that the
cluster head (CH) selection… More >
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