2019 VOL.2 Jun No.3

• Title: Sensor network fault node assisted positioning system based on fuzzy theory
• Name: Yongjie Wang
• Company: Yuncheng polytechnic collage
• Abstract:

  The accuracy of the traditional sensor network fault node assisted positioning system is low. To this end, a sensor network fault node assisted positioning system based on fuzzy theory is proposed. The hardware of the system is composed of three parts: sensor module, processing module and wireless communication module, which is mainly responsible for exchanging control information. In the software design, the SRSS algorithm is used to select the detection site to accurately locate the faulty node. The combination of software and hardware completes the design of sensor network fault node assisted positioning system based on fuzzy theory. In the experiment, 200 fault nodes were randomly selected, and the two systems were compared. The experimental results show that the proposed system has higher accuracy.

• Keyword: Fuzzy theory; Sensor; fault node; positioning;
• DOI: 10.12250/jpciams2019030120
• Citation form: Yongjie Wang.Sensor network fault node assisted positioning system based on fuzzy theory[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 61-63.

[1]Xiao Fayuan, Li Haowei. Wireless Sensor Network Routing Optimization Algorithm Based on Fuzzy Theory[J]. Journal of Guangxi Normal University(Natural Science), 2017, 35(1):137-143.

[2]Li Jianpo, Mu Baochun. Fully mobile node localization algorithm for wireless sensor networks based on cooperative prediction[J]. Journal of Computer Applications, 2017, 34(1):186-188.

[3]Shen Weina, Hu Huangshui,Wang Hongzhi, et al. Adaptive Fuzzy Wireless Sensor Network Routing[J]. Journal of Changchun University of Technology2017, 38(2):144-149.

[4] Lu Weijia, Gao Xiangdong, Zhang Nanfeng, et al. Application of Fuzzy Control Technology in Automatic Tracking of Arc Welding Welds[J]. Manufacturing Technology and Machine Tools, 2017.26(7):350-354.

[5] Zhou Zhiping, Zhao Xiaoxiao, Shao Nannan. WSN Trust Evaluation Model Based on Fuzzy Sets and D-S Evidence Theory[J]. Journal of System Simulation, 2018, 30(4): 1229-1236.

[6] Kong Lingwen, Li Pengyong, Du Qiaoling. Design of autonomous navigation closed-loop control system for hexapod robot based on fuzzy neural network[J]. ROBOT, 2018, 40(1): 316-323.

[7] Ouyang Xulang, He Wenzhong, Lu Han, et al. Research on Three-Dimensional Border Surveillance System and Multi-sensor Information Fusion Technology[J]. Semiconductor Optoelectronics, 2018, 39(2): 298-304.

[8] Xiao Xiaoli, Li Danjiang, Tan Liubin. Node location of wireless sensor networks based on cuckoo search algorithm[J]. Computer Engineering and Applications, 2017, 53(2):141-145.