Profit-driven Wireless Charging Dynamic Scheduling for WRSN in Green IoT

Silai Liu, Xilong Liu, Nirwan Ansari

Research output: Chapter in Book/Report/Conference proceedingConference contribution


With the rapid development of fifth generation (5G) communication technology, Wireless Rechargeable Sensor Networks (WRSNs) have gained attention. Wireless Power Transfer (WPT) enables WRSNs to play important roles in Internet of Things (IoT) applications like smart cities, smart farms and intelligent factories. In these scenarios, in order to save on-grid energy and protect environment, a Green Base Station (GBS) is leveraged to first harvest green energy and then wirelessly power the surrounding sensors in WRSNs by WPT. Most related works focus on maximizing the Green Energy Utilization (GEU) in WPT but overlook reducing nodes' waiting time for energy replenishment, which affects Quality of Service (QoS) and the wireless charging service provider's profit in terms of losing customers. Hence, in this paper, we first propose a novel pricing model that reflects waiting time to maximize the provider's profit. The charging profit maximization problem is formulated as an optimization problem, which is NP-hard, and solved by a heuristic algorithm called Dynamic Scheduling (DS) that considers both waiting time and GEU. Finally, we validate the performance of the proposed algorithm through extensive simulations.

Original languageEnglish (US)
Title of host publication2023 IEEE 23rd International Conference on Communication Technology
Subtitle of host publicationAdvanced Communication and Internet of Things, ICCT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9798350325959
StatePublished - 2023
Event23rd IEEE International Conference on Communication Technology, ICCT 2023 - Wuxi, China
Duration: Oct 20 2023Oct 22 2023

Publication series

NameInternational Conference on Communication Technology Proceedings, ICCT
ISSN (Print)2576-7844
ISSN (Electronic)2576-7828


Conference23rd IEEE International Conference on Communication Technology, ICCT 2023

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Networks and Communications


  • Dynamic scheduling algorithm
  • Green energy utilization
  • Green loT
  • QoS


Dive into the research topics of 'Profit-driven Wireless Charging Dynamic Scheduling for WRSN in Green IoT'. Together they form a unique fingerprint.

Cite this