Open Access
ARTICLE
A Nonuniform Clustering Routing Algorithm Based on an Improved K-Means Algorithm
Xinliang Tang1, Man Zhang1, Pingping Yu1, Wei Liu2, Ning Cao3, *, Yunfeng Xu4
1 School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050000, China.
2 Hebei Chemical and Pharmaceutical College, Hebei Seismological Bureau, Shijiazhuang, 050000, China.
3 School of Internet of Things and Software Technology, Wuxi Vocational College of Science and Technology, Wuxi, 214028, China.
4 Rutgers Business School-Newark, Washington Park, Newark, NJ 07102, USA.
* Corresponding Author: Ning Cao. Email: .
Computers, Materials & Continua 2020, 64(3), 1725-1739. https://doi.org/10.32604/cmc.2020.010272
Received 26 February 2020; Accepted 24 April 2020; Issue published 30 June 2020
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 in the network is fair and that the location of the selected CH
is not concentrated within a certain range, we chose the appropriate CH competition
radius. Simulation results show that, compared with LEACH, LEACH-C, and the DEEC
clustering algorithm, this algorithm can effectively balance the energy consumption of
the CH and extend the network life.
Keywords
Cite This Article
X. Tang, M. Zhang, P. Yu, W. Liu, N. Cao
et al., "A nonuniform clustering routing algorithm based on an improved k-means algorithm,"
Computers, Materials & Continua, vol. 64, no.3, pp. 1725–1739, 2020. https://doi.org/10.32604/cmc.2020.010272
Citations