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 More >
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