1. 太原理工大学 信息与计算机学院,山西,晋中,030600
2. 太原理工大学 大数据学院,山西,晋中,030600
纸质出版:2019
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靳晖, 柴晶, 赵菊敏, 李灯熬. 无源感知系统中的能量管理和通信优化研究[J]. 微电子学与计算机, 2019, 36(12): 42-47.
JIN Hui, CHAI Jing, ZHAO Ju-min, et al. The research on energy management and communication optimization in passive sensing system[J]. 2019, 36(12): 42-47.
可计算无线射频识别(CRFID)标签与阅读器通信过程中
常因能量不足以执行完所有任务
导致任务错过截止期
大量数据传输失败
造成时间和能量的浪费.针对这一问题
建立了CRFID标签的能量接收和消耗模型
提出可预测能量的任务调度算法PE-EDF.该算法将能量管理和任务调度相结合
大大减少了数据传输失败的概率
可靠性至少提高55%.又针对阅读器和多个CRFID通信过程中存在的冲突问题
通过求解阅读器最佳停留位置
提出无碰撞通信算法CFC
使得总通信时间减少25%
优化二者之间通信碰撞.
In the process of communication between CRFID and reader
if the energy is insufficient
the task may miss the deadline
and large amounts of data transmission fails
resulting in waste of time and energy. In response to this problem
this paper established the energy receiving and consumption model of WISP tags
and then proposed a predictive energy task scheduling algorithm called PE-EDF. The algorithm combined energy management with task scheduling
greatly reducing the probability of data transmission failure
and improving reliability by at least 55%. Further
we considered the conflicts between a reader and multiple CRFIDs
and proposed corresponding Collision-Free Communication algorithm called CFC based on optimize the stop position of the reader. The total communication time is reduced by 25%
which greatly optimizes communication conflict.
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SHIH D H, SUN P L, YEN D C, et al. Taxonomy and survey of RFID anti-collision protocols[J]. Computer communications, 2006, 29(11): 2150-2166. DOI: 2150
Wirelessly powered sensor networks and computational RFID[M]. Springer Science % Business Media, 2013.
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