In network processing for tectonic monitoring

• Main Author: Tran, Hoang Ha
• Other Authors: Lee Bu Sung, Francis
• Format: Theses and Dissertations
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
• Online Access: https://hdl.handle.net/10356/61653
• Institution: Nanyang Technological University

The wireless mesh network connection between GPS stations empowers them with the ability to share information and adjustments with each other in real-time. The main fo-cus of this research is to utilize wireless mesh network with three main directions 1) com-munication bandwidth reduction, 2) real-time event detection and 3) in-network GPS data processing. Wireless mesh networking (WMN) is proposed to reduce the number of satellite links and bandwidth required for transmission of GPS data. WMN can be established using long range radios. Clusters of GPS stations will then be formed and a cluster-head is selected for each cluster. Each cluster-head will have satellite communication capabilities and will be responsible for collecting and compressing all the observation data from the GPS stations within the cluster and transmitting them to the remote centralized data server. This greatly reduces the number of satellite upload links needed when each cluster requires a minimum of only one satellite upload link. Furthermore, the cluster based GPS data compression could reduce 70% of daily upload data in our experiment. In-situ parallel and distributed processing of GPS corrections can be made possible using mesh networking. The observation data from adjacent GPS stations are grouped together and processed in hierarchy fashion. Compared to conventional sequential processing method, the computational complexity and computation time of parallel and distributed GPS processing with various schemes decrease significantly. By sharing data within the mesh network, it is possible for in-network processing to be performed for GPS corrections using the embedded processing capability at each GPS station. This allows early-warning applications to be developed without the need for costly data transmission to a remote centralized server. Moreover, event detection algorithm using single station may fail to identify events that are caused by noisy data or human made events. The collabora-tion GPS processing to have better detect seismic events could possibly be implemented by mesh network connections. This thesis summarizes our work on the research topic of in network processing for tectonic monitoring. It investigates the use of mesh network connections between stations to able in-network processing.