无线可充电传感器网络中固定充电器的部署策略

何灏; 陈永锐; 易卫东; 李鸣

doi:10.11959/j.issn.1000-436x.2017248

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无线可充电传感器网络中固定充电器的部署策略

学术论文 | 更新时间：2024-06-05

- 无线可充电传感器网络中固定充电器的部署策略
- Deployment strategy for static chargers in WRSN
- 通信学报 2017年38卷第Z1期页码：156-164
- 作者机构：
  
  中国科学院大学电子电气与通信工程学院，北京 100041
- 作者简介：
  
  [ "何灏（1987-），男，云南昆明人，中国科学院大学博士生，主要研究方向为无线传感器网络、图像处理。" ]
  [ "陈永锐（1978-），男，湖南湘潭人，中国科学院大学副教授，研究方向为无线传感器网络、协作通信。" ]
  [ "易卫东（1959-），男，云南昆明人，中国科学院大学教授、博士生导师，主要研究方向为无线传感器网络及其相关应用。" ]
  [ "李鸣（1987-），男，山东青岛人，中国科学院大学博士生，主要研究方向为传感器技术。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-436x.2017248
  中图分类号： TN923
- 网络出版日期：2017-10，
  
  纸质出版日期：2017-10-25
- 稿件说明：
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何灏, 陈永锐, 易卫东, 等. 无线可充电传感器网络中固定充电器的部署策略[J]. 通信学报, 2017,38(Z1):156-164.

Hao HE, Yong-rui CHEN, Wei-dong YI, et al. Deployment strategy for static chargers in WRSN[J]. Journal on communications, 2017, 38(Z1): 156-164.
何灏, 陈永锐, 易卫东, 等. 无线可充电传感器网络中固定充电器的部署策略[J]. 通信学报, 2017,38(Z1):156-164. DOI： 10.11959/j.issn.1000-436x.2017248.

Hao HE, Yong-rui CHEN, Wei-dong YI, et al. Deployment strategy for static chargers in WRSN[J]. Journal on communications, 2017, 38(Z1): 156-164. DOI： 10.11959/j.issn.1000-436x.2017248.

摘要

无线可充电传感器网络(WRSN)的传统充电器部署方式覆盖所有区域，而所提方法的基本思想是覆盖所有节点的位置。建立了充电器到最远节点距离的数学模型，分析了节点个数与最小充电半径数学期望之间的关系，提出一种充电器部署策略：根据区域内需要充电的节点的位置，采用最小覆盖圆(SEC)方法，通过欧式投递男孩算法寻找充电器的最优位置。该方法能够减小充电半径，降低最小发射功率，节省平均充电能耗。实验结果显示，区域中节点出现的位置越少，节约的能耗越多。

Abstract

The traditional deployment strategy of static chargers in wireless rechargeable sensor networks (WRSN) covers all the area.The basic idea is to cover all the positions of nodes.A mathematical model of distance between a charger and the farthest node was established

the relationship between the number of nodes and the mathematical expectation of minimum radius of charging was analyzed

and deployment strategy for static chargers was proposed.The method based on the locations of all nodes that need to be charged in the area

used the smallest enclosing circle (SEC) algorithm and finds the optimal location of the charger through Euclidean delivery boy algorithm.It will decrease charging radius

reduce the minimum required transmitted power

thereby saving the average charging energy consumption.The experimental results demonstrated that the less the number locations that the nodes existed

the more energy will be saved.

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references

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