Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT

Haijun Liao; Zhenyu Zhou; Zijia Yao; Zahid Mumtaz; Valerio Frascolla

doi:10.1109/GLOBECOM54140.2023.10436981

Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT

Haijun Liao^*, Zhenyu Zhou^*, Zijia Yao^*, Zahid Mumtaz, Valerio Frascolla

^*Corresponding author for this work

Policy & Governance Program

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

3 Citations (Scopus)

Abstract

The concurrent availability of power-line communication, cellular and other wireless technologies, and the rapid development of concepts like multi-mode power internet of things (PIoT) and digital twin (DT) have made intelligent energy control a reality. However, information timeliness guarantee which determines DT consistency and energy control degradation is still an unsolved issue, as recent studies mainly focus on time-averaged guarantee and ignore the occurrence of extreme events. In this paper, we propose a novel metric named ultra-low age of information (ULAoI), which imposes more stringent constraints on extreme event occurrence probability and high-order statistics characteristics of excess AoI value. Moreover, we minimize energy control performance degradation by optimizing communication control, which acts as the bridge connecting information collection and utilization. A joint device scheduling and multi-mode channel allocation algorithm based on ULAoI-prioritized learning is proposed to achieve communication and control integration. Simulation results verify that the proposed algorithm can significantly reduce energy control performance degradation and achieve ULAoI guarantee.

Original language	English
Title of host publication	GLOBECOM 2023 - 2023 IEEE Global Communications Conference
Place of Publication	Kuala Lumpur, Malaysia
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2614-2619
Number of pages	6
ISBN (Electronic)	979-8-3503-1090-0
ISBN (Print)	979-8-3503-1091-7
DOIs	https://doi.org/10.1109/GLOBECOM54140.2023.10436981 https://doi.org/10.1109/GLOBECOM54140.2023.10436981
Publication status	Published - 2023
Event	2023 IEEE Global Communications Conference, GLOBECOM 2023: Intelligent Communications for Shared Prosperity - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023 https://globecom2023.ieee-globecom.org/ https://ieeexplore.ieee.org/xpl/conhome/10436708/proceeding (Conference Proceedings)

Publication series

Name	Proceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)	2334-0983
ISSN (Electronic)	2576-6813

Conference

Conference	2023 IEEE Global Communications Conference, GLOBECOM 2023
Abbreviated title	GLOBECOM '23
Country/Territory	Malaysia
City	Kuala Lumpur
Period	4/12/23 → 8/12/23
Other	The 2023 IEEE Global Communications Conference (GLOBECOM) will be held in the warm and wonderful city of Kuala Lumpur, Malaysia, from 4 to 8 December 2023. Themed “Intelligent Communications for Shared Prosperity” this flagship conference of the IEEE Communications Society will feature a comprehensive high-quality technical program including 13 symposia and a variety of tutorials and workshops. IEEE GLOBECOM 2023 will also include an attractive Industry program, with keynotes and panels from prominent research, industry and government leaders, business and industry panels, and vendor exhibits.
Internet address	https://globecom2023.ieee-globecom.org/ https://ieeexplore.ieee.org/xpl/conhome/10436708/proceeding (Conference Proceedings)

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Liao, H., Zhou, Z., Yao, Z., Mumtaz, Z., & Frascolla, V. (2023). Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference (pp. 2614-2619). (Proceedings - IEEE Global Communications Conference, GLOBECOM). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOBECOM54140.2023.10436981, https://doi.org/10.1109/GLOBECOM54140.2023.10436981

Liao, Haijun ; Zhou, Zhenyu ; Yao, Zijia et al. / Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT. GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Kuala Lumpur, Malaysia : Institute of Electrical and Electronics Engineers Inc., 2023. pp. 2614-2619 (Proceedings - IEEE Global Communications Conference, GLOBECOM).

@inproceedings{435d1db96e6f43bfb25d7e7f17a0c56a,

title = "Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT",

abstract = "The concurrent availability of power-line communication, cellular and other wireless technologies, and the rapid development of concepts like multi-mode power internet of things (PIoT) and digital twin (DT) have made intelligent energy control a reality. However, information timeliness guarantee which determines DT consistency and energy control degradation is still an unsolved issue, as recent studies mainly focus on time-averaged guarantee and ignore the occurrence of extreme events. In this paper, we propose a novel metric named ultra-low age of information (ULAoI), which imposes more stringent constraints on extreme event occurrence probability and high-order statistics characteristics of excess AoI value. Moreover, we minimize energy control performance degradation by optimizing communication control, which acts as the bridge connecting information collection and utilization. A joint device scheduling and multi-mode channel allocation algorithm based on ULAoI-prioritized learning is proposed to achieve communication and control integration. Simulation results verify that the proposed algorithm can significantly reduce energy control performance degradation and achieve ULAoI guarantee.",

keywords = "Performance evaluation, Degradation, Wireless communication, Wireless sensor networks, Simulation, Channel allocation, Scheduling",

author = "Haijun Liao and Zhenyu Zhou and Zijia Yao and Zahid Mumtaz and Valerio Frascolla",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Global Communications Conference, GLOBECOM 2023 : Intelligent Communications for Shared Prosperity, GLOBECOM '23 ; Conference date: 04-12-2023 Through 08-12-2023",

year = "2023",

doi = "10.1109/GLOBECOM54140.2023.10436981",

language = "English",

isbn = "979-8-3503-1091-7",

series = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2614--2619",

booktitle = "GLOBECOM 2023 - 2023 IEEE Global Communications Conference",

address = "United States",

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Liao, H, Zhou, Z, Yao, Z, Mumtaz, Z & Frascolla, V 2023, Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT. in GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Proceedings - IEEE Global Communications Conference, GLOBECOM, Institute of Electrical and Electronics Engineers Inc., Kuala Lumpur, Malaysia, pp. 2614-2619, 2023 IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, 4/12/23. https://doi.org/10.1109/GLOBECOM54140.2023.10436981, https://doi.org/10.1109/GLOBECOM54140.2023.10436981

Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT. / Liao, Haijun; Zhou, Zhenyu; Yao, Zijia et al.
GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Kuala Lumpur, Malaysia: Institute of Electrical and Electronics Engineers Inc., 2023. p. 2614-2619 (Proceedings - IEEE Global Communications Conference, GLOBECOM).

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

TY - GEN

T1 - Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT

AU - Liao, Haijun

AU - Zhou, Zhenyu

AU - Yao, Zijia

AU - Mumtaz, Zahid

AU - Frascolla, Valerio

PY - 2023

Y1 - 2023

N2 - The concurrent availability of power-line communication, cellular and other wireless technologies, and the rapid development of concepts like multi-mode power internet of things (PIoT) and digital twin (DT) have made intelligent energy control a reality. However, information timeliness guarantee which determines DT consistency and energy control degradation is still an unsolved issue, as recent studies mainly focus on time-averaged guarantee and ignore the occurrence of extreme events. In this paper, we propose a novel metric named ultra-low age of information (ULAoI), which imposes more stringent constraints on extreme event occurrence probability and high-order statistics characteristics of excess AoI value. Moreover, we minimize energy control performance degradation by optimizing communication control, which acts as the bridge connecting information collection and utilization. A joint device scheduling and multi-mode channel allocation algorithm based on ULAoI-prioritized learning is proposed to achieve communication and control integration. Simulation results verify that the proposed algorithm can significantly reduce energy control performance degradation and achieve ULAoI guarantee.

AB - The concurrent availability of power-line communication, cellular and other wireless technologies, and the rapid development of concepts like multi-mode power internet of things (PIoT) and digital twin (DT) have made intelligent energy control a reality. However, information timeliness guarantee which determines DT consistency and energy control degradation is still an unsolved issue, as recent studies mainly focus on time-averaged guarantee and ignore the occurrence of extreme events. In this paper, we propose a novel metric named ultra-low age of information (ULAoI), which imposes more stringent constraints on extreme event occurrence probability and high-order statistics characteristics of excess AoI value. Moreover, we minimize energy control performance degradation by optimizing communication control, which acts as the bridge connecting information collection and utilization. A joint device scheduling and multi-mode channel allocation algorithm based on ULAoI-prioritized learning is proposed to achieve communication and control integration. Simulation results verify that the proposed algorithm can significantly reduce energy control performance degradation and achieve ULAoI guarantee.

KW - Performance evaluation

KW - Degradation

KW - Wireless communication

KW - Wireless sensor networks

KW - Simulation

KW - Channel allocation

KW - Scheduling

UR - https://www.scopus.com/pages/publications/85187349796

U2 - 10.1109/GLOBECOM54140.2023.10436981

DO - 10.1109/GLOBECOM54140.2023.10436981

M3 - Conference Paper

AN - SCOPUS:85187349796

SN - 979-8-3503-1091-7

T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM

SP - 2614

EP - 2619

BT - GLOBECOM 2023 - 2023 IEEE Global Communications Conference

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Kuala Lumpur, Malaysia

T2 - 2023 IEEE Global Communications Conference, GLOBECOM 2023

Y2 - 4 December 2023 through 8 December 2023

ER -

Liao H, Zhou Z, Yao Z, Mumtaz Z, Frascolla V. Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Kuala Lumpur, Malaysia: Institute of Electrical and Electronics Engineers Inc. 2023. p. 2614-2619. (Proceedings - IEEE Global Communications Conference, GLOBECOM). doi: 10.1109/GLOBECOM54140.2023.10436981, 10.1109/GLOBECOM54140.2023.10436981

Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT

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