The research on energy management and communication optimization in passive sensing system

JIN Hui; CHAI Jing; ZHAO Ju-min; LI Deng-ao

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The research on energy management and communication optimization in passive sensing system

更新时间：2026-09-04

- The research on energy management and communication optimization in passive sensing system
- Vol. 36, Issue 12, Pages: 42-47(2019)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2019
- 稿件说明：
移动端阅览
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.
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. DOI：

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. DOI：

摘要

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.

Abstract

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.

关键词

Keywords

references

SHAW J A. Radiometry and the Friis transmission equation[J]. American journal of physics, 2013, 81(1): 33-37. DOI: 33

BIONDI A, SUN Y. On the ineffectiveness of 1/m-based interference bounds in the analysis of global EDF and FIFO scheduling[J]. Real-Time Systems, 2018, 54(3): 515-536. DOI: 515

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.

BUETTNER M, GREENSTEIN B, WETHERALL D. Dewdrop: an energy-aware runtime for computational RFID[C]//Proc. USENIX NSDI. 2011: 197-210.

ZHANG P, GUMMESON J, GANESAN D. Blink: A high throughput link layer for backscatter communication[C]//Proceedings of the 10th international conference on Mobile systems, applications, and services. ACM, 2012: 99-112.

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