|
| Adaptive Time Slot Allocation Transmission-ssleep Timing Scheduling Method for Machine Mechanical Vibration Wireless Sensor Networks |
| Received:October 26, 2019 Revised:November 26, 2019 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2020.04.012 |
| KeyWord:mechanical vibration monitoring WSNs adaptive time slot allocation mechanism time schedulingmachine |
| Author | Institution |
| SHU Yun-long |
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing , China |
| TANG Bao-ping |
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing , China |
| HUANG Yi |
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing , China |
|
| Hits: |
| Download times: |
| Abstract: |
| The work aims to reduce the transmission energy consumption of mechanical vibration wireless sensor networks in view of Aiming at the problems of in uniform time slot allocation under the mass raw data transmission requirement in mechanical vibration wireless sensor networks, such as increased transmission energy consumption and reduced transmission rate, to reduce the energy consumption of machine vibration wireless sensor networks. Adaptive time slot allocation transmission-sleep timing scheduling method for machine mechanical vibration wireless sensor networks is was proposed. Firstly, high accuracy of local clock of each sensor node regardless of the errors among crystal oscillators iswas ensured by using the adaptive time slot allocation clock synchronization method based on beacon scheduling. Then, the optimal transmission slot is was allocated for each sensor node based on the transmission rate which was predicted according to LQI. Finally, a new sleep scheduling mechanism was set up, in which the child nodes would be in a sleeping mode until being automatically woken up in the next synchronization slot and gateway beacon frames were monitored. Data transmission experiment is carried out in three mechanisms. The number of conflicts, the energy consumption and the data transmission rate were compared and testedn during data transmission of each node are counted and tested. The transmission energy consumption by the proposed method was respectively 23.4% and 10.6% lower than that by CSMA-CA mechanism and uniform time slot allocation. Adaptive time slot allocation mechanism causes least overall energy consumption among the three mechanisms, at most 23.4% and 10.6% less than CSMA-CA algorithm and uniform time slot allocation respectively. This proposed optimized method effectively reduces the energy consumption of machine mechanical vibration wireless sensor network.. |
| Close |
|
|
|