Research On Low Power Energy Management Method For Mechanical Vibration Wireless Sensor Network Nodes

As a new way of information acquisition,mechanical vibration wireless sensor network can make up for the shortages of traditional cable condition monitoring system.Each sensor nodes work with high frequency signal pickup,high precision synchronous data acquisition,reliable data storage and powerful data transmission to meet the requirements for condition monitoring.Thus,there exists problems that the energy consumption during data acquisition and transmission is really high.Meanwhile,capacity of batteries is limited.So nodes of mechanical vibration wireless sensor network cannot guarantee a long-term operation.In this paper,the main work will be aiming at reducing the energy consumption of nodes from the aspect of data acquisition and data transmission under the premise of ensuring high precision acquisition in wireless sensor network.On the one hand,aiming at the problem of high energy consumption of data acquisition in mechanical vibration wireless sensor networks based on dual-core processor architecture,a low-power energy management method of acquisition nodes in mechanical vibration wireless sensor networks based on task scheduling is proposed.Firstly,the energy consumption of the main processor module,the slave processor module and the IEPE sensor module of the dual-core acquisition node are analyzed,and the working tasks of the acquisition node are sequentially allocated.Then,the current or voltage information of each module under power-on state is obtained by the NI9234 data acquisition card,and the energy management parameters are configured.Finally,the dual-processor which can control multiple switching regulators is used to manage the supple of power.So the acquisition tasks can be scheduled sequentially,and the corresponding modules can be shut down or awakened in an orderly manner,which can effectively reduce the energy consumption in the process of data acquisition in mechanical vibration wireless sensor networks.On the other hand,in order to further reduce energy consumption and increase transmission rate during large amount of original data transmission in mechanical vibration wireless sensor networks,a new sleep scheduling mechanism described as adaptive time slot allocation method is proposed.Firstly,the adaptive time slot allocation clock synchronization method based on beacon scheduling is used to ensure the high accuracy of local clock of each sensor node regardless of the errors amongcrystal oscillators and to reduce synchronization times.Then,the optimal transmission slot is allocated for each sensor node based on the transmission rate which was predicted according to LQI in order to make full use of the periodic synchronization of the whole network in the beacon network mode.Finally,a sleep scheduling mechanism is set up.In this mechanism,the nodes without data transmission stay dormant until being automatically woken up in the next synchronization slot and starting data communication between the gateway and the node.On the condition,the energy consumption in free time and the number of conflicts during data transmission can be minimized,which significantly reduce the energy consumption in the process of data transmission in mechanical vibration wireless sensor networks.Next,to assess these methods proposed above,a monitoring system is made by integrating them into mechanical vibration wireless sensor network.And test to verify the performance of this system is carried out.Through the test,the monitoring system can meet the requirements for high precision data acquisition and transmission and significantly reduce energy consumption.In the last part,an overview of our research work and relevant prospects for further research in this field are described in brief.