Research on Task Allocation Method of Engineering Structure Monitoring Based on LoRa
Tingdong Ye, Peng Xuanrong, He Qiufang · 2020
Aiming at the monitoring requirements of large complex engineering structures, a sensor network monitoring node and network architecture is designed. The node realizes weak signal detection, correction and task allocation through Smart Transformer Interface Module (STIM) and Network Capable Application Processor (NCAP) module, and uses LoRa to build the underlying wireless sensor network. Based on LoRa star network, the multi-objective task allocation method of sensor network is studied. The optimal objective function is solved by using Multiple Elastic Modules Self-Organizing Maps (MEMSOM) algorithm. The experimental results show that the monitoring node based on LoRa architecture can effectively save network resources through the task allocation method based on MEMSOM model, and the energy consumption is reduced by 16.04% compared with the nearest neighbor method.