Title: The topology design and performance analysis of sound-driving system on airport

Authors: Li-juan Li; Zeng-zhen Shao; Shou-yuan Chen; Zheng-qiang Liu; Peng-chao Yan

Addresses: Information Science and Engineering College, Shandong Normal University, Jinan, 250014, China; Shandong Provincial Engineering Technology Research Center for Logistics Optimization and Forecasting, Shandong Normal University, Jinan, China ' Information Science and Engineering College, Shandong Normal University, Jinan, 250014, China; Shandong Provincial Engineering Technology Research Center for Logistics Optimization and Forecasting, Shandong Normal University, Jinan, China ' Information Science and Engineering College, Shandong Normal University, Jinan, China ' Information Science and Engineering College, Shandong Normal University, Jinan, 250014, China; Shandong Provincial Engineering Technology Research Center for Logistics Optimization and Forecasting, Shandong Normal University, Jinan, China ' Information Science and Engineering College, Shandong Normal University, Jinan, China

Abstract: This paper proposes an intelligent network topology of sound-driving system on airport in order to solve the bird-striking problem. At first, the bird-striking system existing now has several problems, such as the points covered by signal are less and the transmission of signal is unstable. To solve the problems, the article proposed a network design which mix RS485 and ZigBee. Then based on the comprehensive considering, it determines the network topology and network protocol of the system. Finally, it analysis the performance of the system through the actual operation: good stability, no blind signal coverage, enabling the audience to control.

Keywords: network topology; RS485; ZigBee; performance evaluation; topology design; sound-driving systems; airports; bird strikes; network protocols; aviation safety; audio bird control; bird dispersal systems; bird scaring devices; acoustic devices; network design.

DOI: 10.1504/IJCI.2016.077105

International Journal of Collaborative Intelligence, 2016 Vol.1 No.3, pp.237 - 246

Received: 25 Jun 2015
Accepted: 02 Jul 2015
Published online: 21 Jun 2016 *

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