Dynamic Programming-Based Antenna Resource Allocation Algorithm for Wireless Powered Sensor Networks

Mingfu Li; Guan Yu Lu; Cheng Bin Yao

doi:10.1109/ICUFN57995.2023.10200695

Dynamic Programming-Based Antenna Resource Allocation Algorithm for Wireless Powered Sensor Networks

Mingfu Li^*
, Guan Yu Lu
, Cheng Bin Yao

^*Corresponding author for this work

Department of Electrical Engineering

Chang Gung University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In a wireless powered sensor network (WPSN), wireless sensors can receive energy from energy transmitters for operation. To improve the performance of the WPSN, the multisource wireless power transfer technique based on the beamforming multi-antenna architecture has emerged as an attractive solution. Thus, in this paper we consider the WPSN system which includes multiple wireless sensors and multiple multi-antenna energy transmitters. We proposed a dynamic programming-based antenna resource allocation algorithm, which takes the diverse distances among various energy transmitting antennas into account, for the radio frequency-based WPSN to maximize the energy transfer efficiency. According to the numerical results, the proposed dynamic programming-based antenna resource allocation algorithm can achieve near-optimal energy transfer efficiency while reducing the computation complexity significantly, compared with the backtracking algorithm which always achieves the optimal allocation but usually not tractable in practical scenarios.

Original language	English
Title of host publication	ICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks
Publisher	IEEE Computer Society
Pages	343-346
Number of pages	4
ISBN (Electronic)	9798350335385
DOIs	https://doi.org/10.1109/ICUFN57995.2023.10200695
State	Published - 2023
Event	14th International Conference on Ubiquitous and Future Networks, ICUFN 2023 - Paris, France Duration: 04 07 2023 → 07 07 2023

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
Volume	2023-July
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Conference

Conference	14th International Conference on Ubiquitous and Future Networks, ICUFN 2023
Country/Territory	France
City	Paris
Period	04/07/23 → 07/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Antenna resource allocation
dynamic programming
energy transfer efficiency
wireless power transfer (WPT)
wireless powered sensor networks (WPSN)

Access to Document

10.1109/ICUFN57995.2023.10200695

Cite this

Li, M., Lu, G. Y., & Yao, C. B. (2023). Dynamic Programming-Based Antenna Resource Allocation Algorithm for Wireless Powered Sensor Networks. In ICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks (pp. 343-346). (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2023-July). IEEE Computer Society. https://doi.org/10.1109/ICUFN57995.2023.10200695

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title = "Dynamic Programming-Based Antenna Resource Allocation Algorithm for Wireless Powered Sensor Networks",

abstract = "In a wireless powered sensor network (WPSN), wireless sensors can receive energy from energy transmitters for operation. To improve the performance of the WPSN, the multisource wireless power transfer technique based on the beamforming multi-antenna architecture has emerged as an attractive solution. Thus, in this paper we consider the WPSN system which includes multiple wireless sensors and multiple multi-antenna energy transmitters. We proposed a dynamic programming-based antenna resource allocation algorithm, which takes the diverse distances among various energy transmitting antennas into account, for the radio frequency-based WPSN to maximize the energy transfer efficiency. According to the numerical results, the proposed dynamic programming-based antenna resource allocation algorithm can achieve near-optimal energy transfer efficiency while reducing the computation complexity significantly, compared with the backtracking algorithm which always achieves the optimal allocation but usually not tractable in practical scenarios.",

keywords = "Antenna resource allocation, dynamic programming, energy transfer efficiency, wireless power transfer (WPT), wireless powered sensor networks (WPSN)",

author = "Mingfu Li and Lu, \{Guan Yu\} and Yao, \{Cheng Bin\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th International Conference on Ubiquitous and Future Networks, ICUFN 2023 ; Conference date: 04-07-2023 Through 07-07-2023",

year = "2023",

doi = "10.1109/ICUFN57995.2023.10200695",

language = "英语",

series = "International Conference on Ubiquitous and Future Networks, ICUFN",

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Li, M, Lu, GY & Yao, CB 2023, Dynamic Programming-Based Antenna Resource Allocation Algorithm for Wireless Powered Sensor Networks. in ICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks. International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2023-July, IEEE Computer Society, pp. 343-346, 14th International Conference on Ubiquitous and Future Networks, ICUFN 2023, Paris, France, 04/07/23. https://doi.org/10.1109/ICUFN57995.2023.10200695

Dynamic Programming-Based Antenna Resource Allocation Algorithm for Wireless Powered Sensor Networks. / Li, Mingfu; Lu, Guan Yu; Yao, Cheng Bin.
ICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2023. p. 343-346 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Li, Mingfu

AU - Lu, Guan Yu

AU - Yao, Cheng Bin

PY - 2023

Y1 - 2023

N2 - In a wireless powered sensor network (WPSN), wireless sensors can receive energy from energy transmitters for operation. To improve the performance of the WPSN, the multisource wireless power transfer technique based on the beamforming multi-antenna architecture has emerged as an attractive solution. Thus, in this paper we consider the WPSN system which includes multiple wireless sensors and multiple multi-antenna energy transmitters. We proposed a dynamic programming-based antenna resource allocation algorithm, which takes the diverse distances among various energy transmitting antennas into account, for the radio frequency-based WPSN to maximize the energy transfer efficiency. According to the numerical results, the proposed dynamic programming-based antenna resource allocation algorithm can achieve near-optimal energy transfer efficiency while reducing the computation complexity significantly, compared with the backtracking algorithm which always achieves the optimal allocation but usually not tractable in practical scenarios.

AB - In a wireless powered sensor network (WPSN), wireless sensors can receive energy from energy transmitters for operation. To improve the performance of the WPSN, the multisource wireless power transfer technique based on the beamforming multi-antenna architecture has emerged as an attractive solution. Thus, in this paper we consider the WPSN system which includes multiple wireless sensors and multiple multi-antenna energy transmitters. We proposed a dynamic programming-based antenna resource allocation algorithm, which takes the diverse distances among various energy transmitting antennas into account, for the radio frequency-based WPSN to maximize the energy transfer efficiency. According to the numerical results, the proposed dynamic programming-based antenna resource allocation algorithm can achieve near-optimal energy transfer efficiency while reducing the computation complexity significantly, compared with the backtracking algorithm which always achieves the optimal allocation but usually not tractable in practical scenarios.

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Dynamic Programming-Based Antenna Resource Allocation Algorithm for Wireless Powered Sensor Networks

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Keywords

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