舒云龙,汤宝平,黄艺.自适应时槽分配的机械振动WSNs传输休眠时序调度方法[J].装备环境工程,2020,17(4):71-76. SHU Yun-long,TANG Bao-ping,HUANG Yi.Adaptive Time Slot Allocation Transmission-ssleep Timing Scheduling Method for Machine Mechanical Vibration Wireless Sensor Networks[J].Equipment Environmental Engineering,2020,17(4):71-76.
自适应时槽分配的机械振动WSNs传输休眠时序调度方法
Adaptive Time Slot Allocation Transmission-ssleep Timing Scheduling Method for Machine Mechanical Vibration Wireless Sensor Networks
投稿时间:2019-10-26  修订日期:2019-11-26
DOI:10.7643/issn.1672-9242.2020.04.012
中文关键词:  机制机械振动监测  无线传感器网络  自适应时槽分配  时序调度
英文关键词:mechanical vibration monitoring  WSNs  adaptive time slot allocation mechanism  time schedulingmachine
基金项目:国家自然科学基金(51675067,51775065)
作者单位
舒云龙 重庆大学 机械传动国家重点实验室,重庆 400030 
汤宝平 重庆大学 机械传动国家重点实验室,重庆 400030 
黄艺 重庆大学 机械传动国家重点实验室,重庆 400030 
AuthorInstitution
SHU Yun-long State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China 
TANG Bao-ping State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China 
HUANG Yi State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China 
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中文摘要:
      目的 针对均匀时槽分配方法在机械振动无线传感器网络大量原始数据传输需求下,节点传输能耗升高、传输速率降低的问题,降低机械振动无线传感器网络传输能耗。方法 提出一种自适应时槽分配的机械振动无线传感器网络传输休眠时序调度方法,首先利用信标调度的自适应时槽分配时钟同步方法使各节点不需晶振补偿就可校准本地时钟误差,然后测量LQI预测节点数据传输速率,为各个节点分配最优传输时槽,最后设置休眠机制,让未进行数据传输的节点处于休眠状态待机,直到下一个同步时槽时,自动唤醒,并侦听网关信标帧。采用三种方法进行冲突次数、传输能量消耗和传输速率的对比实验。结果 所提方法的传输能耗比CSMA-CA机制降低23.4%,比均匀时槽分配降低10.6%。结论 所提方法能有效降低机械振动无线传感器网络数据传输能耗。
英文摘要:
      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..
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