Timely Data Delivery for Energy-Harvesting IoT Devices

LU Wenwei; GONG Siliang; ZHU Yihua

doi:10.1049/cje.2021.00.005

Volume 31 Issue 2

Mar. 2022

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Article Navigation > Chinese Journal of Electronics > 2022 > 31(2): 322-336

LU Wenwei, GONG Siliang, ZHU Yihua, “Timely Data Delivery for Energy-Harvesting IoT Devices,” Chinese Journal of Electronics, vol. 31, no. 2, pp. 322-336, 2022, doi: 10.1049/cje.2021.00.005

Citation:

LU Wenwei, GONG Siliang, ZHU Yihua, “Timely Data Delivery for Energy-Harvesting IoT Devices,” Chinese Journal of Electronics, vol. 31, no. 2, pp. 322-336, 2022, doi: 10.1049/cje.2021.00.005

LU Wenwei, GONG Siliang, ZHU Yihua, “Timely Data Delivery for Energy-Harvesting IoT Devices,” Chinese Journal of Electronics, vol. 31, no. 2, pp. 322-336, 2022, doi: 10.1049/cje.2021.00.005

Citation:

LU Wenwei, GONG Siliang, ZHU Yihua, “Timely Data Delivery for Energy-Harvesting IoT Devices,” Chinese Journal of Electronics, vol. 31, no. 2, pp. 322-336, 2022, doi: 10.1049/cje.2021.00.005

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Timely Data Delivery for Energy-Harvesting IoT Devices

doi: 10.1049/cje.2021.00.005

LU Wenwei^{1, 2
,},
GONG Siliang^1
,,
ZHU Yihua^1
,

1.
School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China
2.
College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China

Funds: This work was supported by the National Key R&D Program of China (2019YFD0901605) and National Natural Science Foundation of China (61772470, 61432015)

More Information

Author Bio:
received the B.S. degree in information and computing science from Zhejiang University, Hangzhou, China, in 2002; and the M.E. degree in computer application technology from Zhejiang University of Technology, Hangzhou, China, in 2010. He is currently pursuing the Ph.D. degree in control science and control engineering in Zhejiang University of Technology, Hangzhou, China. He is an Associate Professor at Zhejiang A&F University, Hangzhou, China. His research interests include WSNs, IoT, and energy harvesting networks. (Email: lww@zafu.edu.cn)

received the M.E. degree in computer science and technology from Beifang University of Nationalities, Yinchuan, China, in 2017. He is currently pursuing the Ph.D. degree in control science and control engineering in Zhejiang University of Technology, China. His research interests include wireless sensor networks and energy harvesting networks. (Email: sl_gong@qq.com)

(corresponding author) received the B.S. degree in mathematics from Zhejiang Normal University, Zhejiang, China, in 1982, the M.S. degree in operation research and cybernetics from Shanghai University, Shanghai, China in 1993, and the Ph.D. degree in computer science and technology from Zhejiang University, Zhejiang, China, in 2003. Dr. Zhu is a Professor at Zhejiang University of Technology, Hangzhou, China. He is a Member of China Computer Federation Technical Committee on Internet of Things (IoT). His current research interests include IoT, WLANs, WSNs, RFID systems. He has served as Technical Program Committee Members or Co-chairs in the international conferences IEEE ICC, WCNC, GlobeCom, DCOSS, etc. (Email: yhzhu@zjut.edu.cn)
Received Date: 2020-12-29
Accepted Date: 2021-01-25

Available Online: 2021-09-23

Publish Date: 2022-03-05

Abstract

Abstract

The devices in the Internet of things (IoT) gain capability of sustainable operation when they harvest energy from ambient sources. Fluctuation in the harvested energy may cause the energy-harvesting IoT devices to suffer from frequent energy shortage, which may bring in intolerable packet delay or packet discarding. It is important to design a low-delay packet delivery scheme that adapts to variation in the harvested energy. In this paper, we present the timely data delivery (TDD) scheme for the IoT devices. Using Markov chain, we develop a probability model for the TDD scheme, which leads to the expected number of packets delivered in an operation cycle, the expected numbers of packets waiting in the data buffer in an operation cycle and an energy-harvesting cycle, and the expected packet delay. Additionally, we formulate the optimization problem that minimizes the packet delay in the TDD scheme, and the solution to the optimization problem yields the optimal parameters for the IoT devices to determine when to harvest energy and when to deliver data under the TDD scheme. The simulation results show that the proposed TDD scheme outperforms the existing schemes in terms of packet delay.
- Internet of things,
- Energy harvesting,
- Data delivery,
- Energy management,
- IEEE 802.15.4 standard

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References(34)

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