Energy-Efficient Data Collection Scheme for Radio Frequency Powered Wireless Sensor Network

QIU Shu-wei; SHI Hai-yan; CHI Kai-kai; CHENG Zhen; ZHU Yi-hua

doi:10.3969/j.issn.0372-2112.2018.09.027

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Energy-Efficient Data Collection Scheme for Radio Frequency Powered Wireless Sensor Network

更新时间：2025-07-16

- Energy-Efficient Data Collection Scheme for Radio Frequency Powered Wireless Sensor Network
- Acta Electronica Sinica Vol. 46, Issue 9, Pages: 2238-2244(2018)
- 作者机构：
  
  1. 浙江工业大学计算机科学与技术学院,浙江,杭州,310023
  2. 绍兴文理学院机械与电气工程学院,浙江,绍兴,312000
  3. 浙江工业大学计算机科学与技术学院,浙江,杭州,310023
  4. 绍兴文理学院机械与电气工程学院,浙江,绍兴,312000
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2018.09.027
  CLC： TP393
- Published Online：25 September 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
QIU Shu-wei, SHI Hai-yan, CHI Kai-kai, et al. Energy-Efficient Data Collection Scheme for Radio Frequency Powered Wireless Sensor Network[J]. Acta Electronica Sinica, 2018, 46(9): 2238-2244.
DOI：

QIU Shu-wei, SHI Hai-yan, CHI Kai-kai, et al. Energy-Efficient Data Collection Scheme for Radio Frequency Powered Wireless Sensor Network[J]. Acta Electronica Sinica, 2018, 46(9): 2238-2244. DOI： 10.3969/j.issn.0372-2112.2018.09.027.

摘要

在射频供能无线传感器网络中，提高网络能效和吞吐率是一个重要的研究问题.该文统筹考虑信道分配、节点的能量阈值以及MAC（Medium Access Control）帧分块重传机制，提出高能效和高吞吐率的数据收集方案；推导了节点的充电时间、节点传输一个MAC帧的平均能耗和平均时延、网络能效和吞吐率，定义了网络效用函数，形成了最大化网络效用的优化问题.通过调整效用系数并求解优化问题，可以获得使网络能效和吞吐率最大化的最优能量阈值和MAC帧最优分块个数.仿真结果表明，所提方案的能效和吞吐率高于已有方案.

Abstract

In radio frequency powered wireless sensor network (RFP-WSN)

improving network energy efficiency and throughput is an important topic. A data collection scheme with high energy-efficiency and high throughput is proposed in this paper

which integrates channel allocation

energy threshold and MAC (Medium Access Control) frame block-level retransmission mechanism. In addition

the charging time of nodes

the average energy consumption and the average delay for transmitting a MAC frame

and the energy efficiency and throughput of the network are derived. The network utility function is defined

and the optimization problem (OP) of maximizing network utility is formed. By adjusting the utility coefficient and solving the OP

the optimal energy threshold and the optimal number of blocks per MAC frame can be obtained to maximize the energy efficiency and throughput. The simulation results show that the energy efficiency and throughput of the proposed scheme are higher than that of the existing schemes.

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