Research on Intelligent Clustering Algorithm for Complex Water Wireless Network Surveillance

Authors

Hua Xiang, 1. College of Electronic Information Engineering, Xi‘an Technological University, Xi‘an 710021, China; ;3. Northwest Institutes of Advanced Technology, Xi‘an Technological University, Xi‘an 710021, China;
Hongtao Liang, 2. College of Physics and Information Technology, Shaanxi Normal University, Xi‘an 710119, China; ;
Zhaoxin Dong, 1. College of Electronic Information Engineering, Xi‘an Technological University, Xi‘an 710021, China; ;
Wang Zhao, 3. Northwest Institutes of Advanced Technology, Xi‘an Technological University, Xi‘an 710021, China;
Hongjuan Yao, 1. College of Electronic Information Engineering, Xi‘an Technological University, Xi‘an 710021, China; ;
Baohua Li, 1. College of Electronic Information Engineering, Xi‘an Technological University, Xi‘an 710021, China; ;
Bingqing Jiang, 1. College of Electronic Information Engineering, Xi‘an Technological University, Xi‘an 710021, China; ;

Abstract

Abstract: The clustering of irregular networks will cause load imbalance, which results in the phenomenon of “energy hot zone”. Aiming at the unreasonable topology of irregular network clustering, an intelligent clustering algorithm based on genetic strategy is proposed for the wireless network surveillance of complex water system. An irregular complex water topology model and an energy consumption model are built, and a genetic clustering strategy is designed via the principle of minimum energy consumption. The P matrix coding method is given, which avoids the squared increment of data calculation. Simultaneously, an adaptive genetic operator and a fuzzy modified operator are established to improve the directionality of search. The experimental results show that the proposed algorithm has good performance in the network clustering, the energy consumption load and the lifetime.

Recommended Citation

Xiang, Hua; Liang, Hongtao; Dong, Zhaoxin; Zhao, Wang; Yao, Hongjuan; Li, Baohua; and Jiang, Bingqing (2019) "Research on Intelligent Clustering Algorithm for Complex Water Wireless Network Surveillance," Journal of System Simulation: Vol. 31: Iss. 11, Article 8.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0296
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss11/8

First Page

2255

Revised Date

2019-07-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0296

Last Page

2263

CLC

TP393.1

Recommended Citation

Hua Xiang, Liang Hongtao, Dong Zhaoxin, Wang Zhao, Yao Hongjuan, Li Baohua, Jiang Bingqing. Research on Intelligent Clustering Algorithm for Complex Water Wireless Network Surveillance[J]. Journal of System Simulation, 2019, 31(11): 2255-2263.

DOI

10.16182/j.issn1004731x.joss.19-FZ0296