Improvement of a microseismic monitoring data‐transmission system based on a load‐balancing scheme and a high‐throughput polling mechanism

Abstract

Microseismic monitoring technology has been used widely in the field of the monitoring of dynamic disaster in hydraulic fracturing. A cable-less self-positioning seismograph, developed by Jilin University, China, can record microseismic data and transmit data through wireless local area networks (WLANs). However, when the system is overseeing too many seismographs, load imbalance among the access points (APs) and channel congestion might prevent it from collecting all the data quickly enough for real-time monitoring. This paper proposes a data-transmission system that combines a load-balancing scheme with a high-throughput polling mechanism in WLANs to allow the real-time transmission. The improved load-balancing scheme allows all the seismographs to associate with the available APs and keeps load balance among the APs. During data transmission, the high-throughput polling mechanism maximizes the total throughput in the WLANs and avoids throughput degradation due to fierce channel collision. Our experimental results show that the performance of the system is significantly improved compared with the original data-transmission system. The time of acquire the data could be reduced by about 70% compared to origin method. The average data-transmission speed of the system is improved 3.5 times relative to the original scheme so it is satisfying for real-time monitoring.