WSN Clustering Routing Protocol for Bridge Structure Health Monitoring

Authors

Li Gang, 1. Foshan University, Foshan 528000, China;;
Caixia Zhang, 1. Foshan University, Foshan 528000, China;;3. Guangdong Province Smart City Infrastructure Health Monitoring and Evaluation Engineering Technology Research Center, Foshan 528000, China;
Shaolin Hu, 2. Guangdong University of Petrochemical Technology, Maoming 525000, China;;
Xiangdong Wang, 1. Foshan University, Foshan 528000, China;;
Guo Jing, 1. Foshan University, Foshan 528000, China;;

Abstract

Abstract: In the specific application of bridge structure health monitoring (BSHM), clustering based only on the geographic location of nodes or using a single-hop strategy to complete inter-cluster routing may cause the unstability of the entire wireless sensor networks(WSN). For WSN in BSHM scenario, the concept of "energy distribution" is proposed, and an energy balance clustering routing protocol energy balance protocol(EBP) is designed. The second clustering, the high-energy areas in WSN bear more energy consumption, and a multi hop strategy based on region division is designed to control the number of forwarding hops. The simulation results show that, compared with low energy adaptive clustering hierarchy(LEACH) and stable election protocol(SEP), EBP has a significant positive improvement in the life cycle and energy consumption in BSHM scenario.

Recommended Citation

Gang, Li; Zhang, Caixia; Hu, Shaolin; Wang, Xiangdong; and Jing, Guo (2022) "WSN Clustering Routing Protocol for Bridge Structure Health Monitoring," Journal of System Simulation: Vol. 34: Iss. 1, Article 7.
DOI: 10.16182/j.issn1004731x.joss.20-0677
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss1/7

First Page

62

Revised Date

2020-11-11

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0677

Last Page

69

CLC

TP212.9;TN929.5

Recommended Citation

Li Gang, Zhang Caixia, Hu Shaolin, Wang Xiangdong, Guo Jing. WSN Clustering Routing Protocol for Bridge Structure Health Monitoring[J]. Journal of System Simulation, 2022, 34(1): 62-69.

DOI

10.16182/j.issn1004731x.joss.20-0677