ISAC-Facilitated Optimal On-demand Mobile Charging Scheme for IoT-based WRSNs

Muhammad Umar Farooq QAISAR; Zhuo SUN; Fan LIU; Weijie YUAN; Chang LIU; Guangjie HAN; Fisseha Teju WEDAJ

doi:10.1145/3636534.3698228

ISAC-Facilitated Optimal On-demand Mobile Charging Scheme for IoT-based WRSNs

Muhammad Umar Farooq QAISAR^*, Zhuo SUN, Fan LIU, Weijie YUAN^*, Chang LIU, Guangjie HAN, Fisseha Teju WEDAJ

^*Corresponding author for this work

Lingnan University

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

Abstract

IoT-based wireless sensor networks (WSNs) face significant energy constraints, which can be alleviated by wireless power transfer (WPT) technology. Integrating WPT with WSNs creates wireless rechargeable sensor networks (WRSNs), where optimizing charging efficiency and scheduling is critical. This paper introduces an ISAC-facilitated optimal on-demand mobile charging scheme for IoT-based WRSNs (IOMSN) with three key components. First, it presents an ISAC-assisted prioritized charging queue, incorporating four attributes with probability distributions: residual energy, traffic load, MCV travel time, and direction angle. Second, it provides ISAC-driven estimations of MCV distance, speed, and location to enhance prioritization, thereby optimizing the charging route and potentially reducing travel costs. Third, a time-allocated partial charging model improves charging efficiency. Numerical results show that the proposed protocol outperforms cutting-edge protocols in energy usage efficiency, travel distance, charging delay, and service time.

Original language	English
Title of host publication	ACM MobiCom 2024 : Proceedings of the 30th International Conference on Mobile Computing and Networking
Publisher	Association for Computing Machinery, Inc
Pages	2191-2196
Number of pages	6
ISBN (Electronic)	9798400704895
DOIs	https://doi.org/10.1145/3636534.3698228
Publication status	Published - 4 Dec 2024
Event	30th International Conference on Mobile Computing and Networking, ACM MobiCom 2024 - Washington, United States Duration: 18 Nov 2024 → 22 Nov 2024

Conference

Conference	30th International Conference on Mobile Computing and Networking, ACM MobiCom 2024
Country/Territory	United States
City	Washington
Period	18/11/24 → 22/11/24

Bibliographical note

Publisher Copyright:
© 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

Keywords

internet of things
ISAC
mobile charger
on-demand
partial charging
wireless rechargeable sensor networks

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10.1145/3636534.3698228

Cite this

QAISAR, M. U. F., SUN, Z., LIU, F., YUAN, W., LIU, C., HAN, G., & WEDAJ, F. T. (2024). ISAC-Facilitated Optimal On-demand Mobile Charging Scheme for IoT-based WRSNs. In ACM MobiCom 2024 : Proceedings of the 30th International Conference on Mobile Computing and Networking (pp. 2191-2196). Association for Computing Machinery, Inc. https://doi.org/10.1145/3636534.3698228

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title = "ISAC-Facilitated Optimal On-demand Mobile Charging Scheme for IoT-based WRSNs",

abstract = "IoT-based wireless sensor networks (WSNs) face significant energy constraints, which can be alleviated by wireless power transfer (WPT) technology. Integrating WPT with WSNs creates wireless rechargeable sensor networks (WRSNs), where optimizing charging efficiency and scheduling is critical. This paper introduces an ISAC-facilitated optimal on-demand mobile charging scheme for IoT-based WRSNs (IOMSN) with three key components. First, it presents an ISAC-assisted prioritized charging queue, incorporating four attributes with probability distributions: residual energy, traffic load, MCV travel time, and direction angle. Second, it provides ISAC-driven estimations of MCV distance, speed, and location to enhance prioritization, thereby optimizing the charging route and potentially reducing travel costs. Third, a time-allocated partial charging model improves charging efficiency. Numerical results show that the proposed protocol outperforms cutting-edge protocols in energy usage efficiency, travel distance, charging delay, and service time.",

keywords = "internet of things, ISAC, mobile charger, on-demand, partial charging, wireless rechargeable sensor networks",

author = "QAISAR, {Muhammad Umar Farooq} and Zhuo SUN and Fan LIU and Weijie YUAN and Chang LIU and Guangjie HAN and WEDAJ, {Fisseha Teju}",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.; 30th International Conference on Mobile Computing and Networking, ACM MobiCom 2024 ; Conference date: 18-11-2024 Through 22-11-2024",

year = "2024",

month = dec,

day = "4",

doi = "10.1145/3636534.3698228",

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QAISAR, MUF, SUN, Z, LIU, F, YUAN, W, LIU, C, HAN, G & WEDAJ, FT 2024, ISAC-Facilitated Optimal On-demand Mobile Charging Scheme for IoT-based WRSNs. in ACM MobiCom 2024 : Proceedings of the 30th International Conference on Mobile Computing and Networking. Association for Computing Machinery, Inc, pp. 2191-2196, 30th International Conference on Mobile Computing and Networking, ACM MobiCom 2024, Washington, United States, 18/11/24. https://doi.org/10.1145/3636534.3698228

ISAC-Facilitated Optimal On-demand Mobile Charging Scheme for IoT-based WRSNs. / QAISAR, Muhammad Umar Farooq; SUN, Zhuo; LIU, Fan et al.
ACM MobiCom 2024 : Proceedings of the 30th International Conference on Mobile Computing and Networking. Association for Computing Machinery, Inc, 2024. p. 2191-2196.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

TY - GEN

T1 - ISAC-Facilitated Optimal On-demand Mobile Charging Scheme for IoT-based WRSNs

AU - QAISAR, Muhammad Umar Farooq

AU - SUN, Zhuo

AU - LIU, Fan

AU - YUAN, Weijie

AU - LIU, Chang

AU - HAN, Guangjie

AU - WEDAJ, Fisseha Teju

PY - 2024/12/4

Y1 - 2024/12/4

N2 - IoT-based wireless sensor networks (WSNs) face significant energy constraints, which can be alleviated by wireless power transfer (WPT) technology. Integrating WPT with WSNs creates wireless rechargeable sensor networks (WRSNs), where optimizing charging efficiency and scheduling is critical. This paper introduces an ISAC-facilitated optimal on-demand mobile charging scheme for IoT-based WRSNs (IOMSN) with three key components. First, it presents an ISAC-assisted prioritized charging queue, incorporating four attributes with probability distributions: residual energy, traffic load, MCV travel time, and direction angle. Second, it provides ISAC-driven estimations of MCV distance, speed, and location to enhance prioritization, thereby optimizing the charging route and potentially reducing travel costs. Third, a time-allocated partial charging model improves charging efficiency. Numerical results show that the proposed protocol outperforms cutting-edge protocols in energy usage efficiency, travel distance, charging delay, and service time.

AB - IoT-based wireless sensor networks (WSNs) face significant energy constraints, which can be alleviated by wireless power transfer (WPT) technology. Integrating WPT with WSNs creates wireless rechargeable sensor networks (WRSNs), where optimizing charging efficiency and scheduling is critical. This paper introduces an ISAC-facilitated optimal on-demand mobile charging scheme for IoT-based WRSNs (IOMSN) with three key components. First, it presents an ISAC-assisted prioritized charging queue, incorporating four attributes with probability distributions: residual energy, traffic load, MCV travel time, and direction angle. Second, it provides ISAC-driven estimations of MCV distance, speed, and location to enhance prioritization, thereby optimizing the charging route and potentially reducing travel costs. Third, a time-allocated partial charging model improves charging efficiency. Numerical results show that the proposed protocol outperforms cutting-edge protocols in energy usage efficiency, travel distance, charging delay, and service time.

KW - internet of things

KW - ISAC

KW - mobile charger

KW - on-demand

KW - partial charging

KW - wireless rechargeable sensor networks

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M3 - Conference paper (refereed)

AN - SCOPUS:105002711171

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EP - 2196

BT - ACM MobiCom 2024 : Proceedings of the 30th International Conference on Mobile Computing and Networking

PB - Association for Computing Machinery, Inc

T2 - 30th International Conference on Mobile Computing and Networking, ACM MobiCom 2024

Y2 - 18 November 2024 through 22 November 2024

ER -

ISAC-Facilitated Optimal On-demand Mobile Charging Scheme for IoT-based WRSNs

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Keywords

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