Joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks

Zhansheng Chen; Hong Shen

doi:10.1109/PDCAT46702.2019.00098

Joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks

Zhansheng Chen
, Hong Shen

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

3 Citations (Scopus)

Abstract

To alleviate energy hole problem inherent in static Base station (BS) scheme and extend network work of battery-restricted wireless rechargable sensor networks, a joint mobile data col-lection and adaptive charging scheduling (MDC-ACS) scheme based on virtual grid is proposed in this paper, aiming to achieve whole network energy balance and high charging effi-ciency. In MDC-ACS scheme, network is firstly divided into several grids and several rendezvous are determined using geo-graphic information. Then, mobile data collector (MDC) moves in grids for data collection within the application delay and moving trajectory is guided by rendezvous. Due to the limited battery capacity of mobile wirelsee charging vehicle (WCV) and its energy consumption while cruising, an adaptive charging schedule scheme is proposed for maximizing recharging benefit. With extensive simulation, we demonstrate that MDC-ACS scheme can achieve better charging benefit and reduce average charging delay.

Original language	English
Title of host publication	Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019
Editors	Hui Tian, Hong Shen, Wee Lum Tan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	496-500
Number of pages	5
ISBN (Electronic)	9781728126166
DOIs	https://doi.org/10.1109/PDCAT46702.2019.00098
Publication status	Published - Dec 2019
Externally published	Yes
Event	20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019 - Gold Coast, Australia Duration: 5 Dec 2019 → 7 Dec 2019

Publication series

Name	Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019

Conference

Conference	20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019
Country/Territory	Australia
City	Gold Coast
Period	5/12/19 → 7/12/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Average charging delay
Charging benefit
Energy supply
Mobile charging vehicle
Mobile data collector
Wireless rechargeable sensor networks

Access to Document

10.1109/PDCAT46702.2019.00098

Cite this

Chen, Z., & Shen, H. (2019). Joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks. In H. Tian, H. Shen, & W. L. Tan (Eds.), Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019 (pp. 496-500). Article 9028956 (Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PDCAT46702.2019.00098

Chen, Zhansheng ; Shen, Hong. / Joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks. Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019. editor / Hui Tian ; Hong Shen ; Wee Lum Tan. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 496-500 (Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019).

@inproceedings{05f26149ba2e4686942f1432b0537d31,

title = "Joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks",

abstract = "To alleviate energy hole problem inherent in static Base station (BS) scheme and extend network work of battery-restricted wireless rechargable sensor networks, a joint mobile data col-lection and adaptive charging scheduling (MDC-ACS) scheme based on virtual grid is proposed in this paper, aiming to achieve whole network energy balance and high charging effi-ciency. In MDC-ACS scheme, network is firstly divided into several grids and several rendezvous are determined using geo-graphic information. Then, mobile data collector (MDC) moves in grids for data collection within the application delay and moving trajectory is guided by rendezvous. Due to the limited battery capacity of mobile wirelsee charging vehicle (WCV) and its energy consumption while cruising, an adaptive charging schedule scheme is proposed for maximizing recharging benefit. With extensive simulation, we demonstrate that MDC-ACS scheme can achieve better charging benefit and reduce average charging delay.",

keywords = "Average charging delay, Charging benefit, Energy supply, Mobile charging vehicle, Mobile data collector, Wireless rechargeable sensor networks",

author = "Zhansheng Chen and Hong Shen",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019 ; Conference date: 05-12-2019 Through 07-12-2019",

year = "2019",

month = dec,

doi = "10.1109/PDCAT46702.2019.00098",

language = "English",

series = "Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019",

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

pages = "496--500",

editor = "Hui Tian and Hong Shen and Tan, \{Wee Lum\}",

booktitle = "Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019",

address = "United States",

}

Chen, Z & Shen, H 2019, Joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks. in H Tian, H Shen & WL Tan (eds), Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019., 9028956, Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019, Institute of Electrical and Electronics Engineers Inc., pp. 496-500, 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019, Gold Coast, Australia, 5/12/19. https://doi.org/10.1109/PDCAT46702.2019.00098

Joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks. / Chen, Zhansheng; Shen, Hong.
Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019. ed. / Hui Tian; Hong Shen; Wee Lum Tan. Institute of Electrical and Electronics Engineers Inc., 2019. p. 496-500 9028956 (Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019).

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

TY - GEN

T1 - Joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks

AU - Chen, Zhansheng

AU - Shen, Hong

PY - 2019/12

Y1 - 2019/12

N2 - To alleviate energy hole problem inherent in static Base station (BS) scheme and extend network work of battery-restricted wireless rechargable sensor networks, a joint mobile data col-lection and adaptive charging scheduling (MDC-ACS) scheme based on virtual grid is proposed in this paper, aiming to achieve whole network energy balance and high charging effi-ciency. In MDC-ACS scheme, network is firstly divided into several grids and several rendezvous are determined using geo-graphic information. Then, mobile data collector (MDC) moves in grids for data collection within the application delay and moving trajectory is guided by rendezvous. Due to the limited battery capacity of mobile wirelsee charging vehicle (WCV) and its energy consumption while cruising, an adaptive charging schedule scheme is proposed for maximizing recharging benefit. With extensive simulation, we demonstrate that MDC-ACS scheme can achieve better charging benefit and reduce average charging delay.

AB - To alleviate energy hole problem inherent in static Base station (BS) scheme and extend network work of battery-restricted wireless rechargable sensor networks, a joint mobile data col-lection and adaptive charging scheduling (MDC-ACS) scheme based on virtual grid is proposed in this paper, aiming to achieve whole network energy balance and high charging effi-ciency. In MDC-ACS scheme, network is firstly divided into several grids and several rendezvous are determined using geo-graphic information. Then, mobile data collector (MDC) moves in grids for data collection within the application delay and moving trajectory is guided by rendezvous. Due to the limited battery capacity of mobile wirelsee charging vehicle (WCV) and its energy consumption while cruising, an adaptive charging schedule scheme is proposed for maximizing recharging benefit. With extensive simulation, we demonstrate that MDC-ACS scheme can achieve better charging benefit and reduce average charging delay.

KW - Average charging delay

KW - Charging benefit

KW - Energy supply

KW - Mobile charging vehicle

KW - Mobile data collector

KW - Wireless rechargeable sensor networks

UR - https://www.scopus.com/pages/publications/85083181568

U2 - 10.1109/PDCAT46702.2019.00098

DO - 10.1109/PDCAT46702.2019.00098

M3 - Conference contribution

AN - SCOPUS:85083181568

T3 - Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019

SP - 496

EP - 500

BT - Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019

A2 - Tian, Hui

A2 - Shen, Hong

A2 - Tan, Wee Lum

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019

Y2 - 5 December 2019 through 7 December 2019

ER -

Chen Z, Shen H. Joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks. In Tian H, Shen H, Tan WL, editors, Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 496-500. 9028956. (Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019). doi: 10.1109/PDCAT46702.2019.00098

Joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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