Network Optimization for Dam Monitoring System Based on Fuzzy Analytic Hierarchy Process: Design and Application

CHAI Qi-lei, TANG Qiu, LI Bin-qin

Journal of Changjiang River Scientific Research Institute ›› 2018, Vol. 35 ›› Issue (5) : 52-56.

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Journal of Changjiang River Scientific Research Institute ›› 2018, Vol. 35 ›› Issue (5) : 52-56. DOI: 10.11988/ckyyb.20161321
ENGINEERING SAFETY AND DISASTER PREVENTION

Network Optimization for Dam Monitoring System Based on Fuzzy Analytic Hierarchy Process: Design and Application

  • CHAI Qi-lei1, TANG Qiu1, LI Bin-qin2
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Abstract

To reduce the delay of data transmission and improve the transmission efficiency in the network communication of traditional dam monitoring system due to channel scan and queuing, we propose an optimized method of ZigBee networking integrated with Fuzzy Analytic Hierarchy Process (FAHP). Firstly we built a dam monitoring transmission network, and then calculated the weights of transmission nodes by using FAHP, based on which we analyzed the nodes’ efficiency and transmission orders in the network. Finally, we completed the optimization by resetting networking structure and data transmission path. Results of both simulation and engineering application in Weishui monitoring project indicate that the proposed method is able to improve monitoring time and data transmission efficiency and is suitable for network optimization of nodes in various monitoring systems.

Key words

dam monitoring / FAHP / ZigBee networking / transmission delay / priority rating

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CHAI Qi-lei, TANG Qiu, LI Bin-qin. Network Optimization for Dam Monitoring System Based on Fuzzy Analytic Hierarchy Process: Design and Application[J]. Journal of Changjiang River Scientific Research Institute. 2018, 35(5): 52-56 https://doi.org/10.11988/ckyyb.20161321

References

[1] 陈远强,郑 宏,陈 涛.基于数值流形方法的重力坝抗滑稳定性分析[J].长江科学院院报,2016,33(9):133-137.
[2] 张 磊,袁爱军,冯建华.地下水监测多源信息管理系统的开发[J].长江科学院院报,2016,33(8):130-133,137.
[3] WU F Q, LI L G, MA X S, et al. Development of Wireless Monitor System on Greenhouse Environment Based on GSM[M]∥Future Control and Automation. Berlin: Springer Berlin Heidelberg, 2012:371-379.
[4] XU Deng-yuan, DOU Jun, TU Jian-ping. Physical Frame Time-Slot Switching—A New Switching Technique over DWDM[J]. Journal of Electronic Science and Technology of China, 2005, 3(3): 208-212, 263.
[5] 王 翥,郝晓强,魏德宝.基于WSN和GPRS网络的远程水质监测系统[J].仪表技术与传感器,2010,(1):48-49,52.
[6] 韩 啸.ZigBee技术及应用[J].电脑知识与技术, 2014,10(22):5180-5181.
[7] 朱 琎,杨占勇.基于CC2530的无线振动监测传感器节点设计[J].仪表技术与传感器,2012,(8):56-58,83.
[8] 吕 伟,胡荣华.边坡稳定性的Fuzzy AHP和AHP对比研究[J].西安科技大学学报,2013,33(3):307-312.
[9] 吴呈瑜,孙运强.基于ZigBee技术的短距离无线数据传输系统[J].仪表技术与传感器,2008,(5):38-39.
[10]饶达琴,张文超.基于ZigBee的自愈自组网的设计与应用[J].电子设计工程,2012,20(23):111-113.
[11]EL GAMAL A, MAMMEN J, PRABHAKAR B, et al. Optimal Throughput-delay Scaling in Wireless Networks: part I: the Fluid Model[J]. IEEE/ACM Transactions on Networking, 2006,14(S1):2568-2592.
[12]HUANG W, WANG X. Throughput and Delay Scaling of General Cognitive Networks[C]∥2011 Proceedings of IEEE INFOCOM, Shanghai, China, April 10-15,2011:2210-2218.
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