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 |
[1] |
R. A. Kjellby, L. R. Cenkeramaddi, T. E. Johnsrud, et al., “Self-powered IoT device based on energy harvesting for remote applications,” 2018 IEEE Int. Conf. on Advanced Networks and Telecommunications Systems (ANTS), Indore, India, pp.1–4, 2018.
|
[2] |
M. Raghavandaar, M. Prathiksh, S. Revathy, et al., “Energy harvesting using 2.45GHz rectenna for powering sensors in IoT devices,” 2020 Int. Conf. on Electronics, Information, and Communication (ICEIC), Barcelona, Spain, pp.1–3, 2020.
|
[3] |
S. M. Noghabaei, R. L. Radin, and M. Sawan, “Efficient dualband ultra-low-power RF energy harvesting front-end for wearable devices,” 2018 IEEE 61st Int. Midwest Symposium on Circuits and Systems (MWSCAS), Windsor, ON, Canada, pp.444–447, 2018.
|
[4] |
Y. Zhang, E. Li, Y.-h. Zhu, et al., “Energy-efficient prefix code based backscatter communications for wirelessly powered networks,” IEEE Wireless Commun. Lett., vol.8, no.2, pp.348–351, 2019. doi: 10.1109/LWC.2018.2872538
|
[5] |
Y. Zhang, E. Li, and Y.-h. Zhu, “Energy-efficient dualcodebook based backscatter communications for wireless powered networks,” ACM Trans. Sensor Netw., vol.17, no.1, article no.9, 2020.
|
[6] |
J. C. Rodriguez, V. Nico, and J. Punch, “Powering wireless sensor nodes for industrial IoT applications using vibration energy harvesting,” 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Limerick, Ireland, pp.392–397, 2019.
|
[7] |
X. Shao, C. Wang, and Y. Rao, “Research on cross layer network coding aware energy efficient routing for wireless sensor network,” Acta Electronica Sinica, vol.43, no.12, pp.2484–2490, 2015. (in Chinese) doi: 10.3969/j.issn.0372-2112.2015.12.021
|
[8] |
D. Zhang, H. Ge, X. Liu, et al., “A kind of new routing algorithm with adaptivity for mobile IoT based on Q-learning,” Acta Electronica Sinica, vol.46, no.10, pp.2325–2332, 2018. (in Chinese)
|
[9] |
X. Zhang, X. Ma, and H. Wang, “Energy-efficient reliable transmission strategy based on optimal distance in delay tolerant mobile sensor networks,” Acta Electronica Sinica, vol.47, no.1, pp.105–112, 2019. (in Chinese)
|
[10] |
N. Bai, S. Gong, H. Shi, et al., “Improving throughput of communication link in IEEE 802.15.4 based energy-harvesting wireless sensor network,” Chinese Journal of Electronics, vol.28, no.4, pp.841–849, 2019. doi: 10.1049/cje.2019.03.003
|
[11] |
F. Yan, J. Zhao, H. Qu, et al., “Energy-efficient cooperative strategy in RF energy harvesting cognitive radio network,” Chinese Journal of Electronics, vol.28, no.3, pp.651–657, 2019. doi: 10.1049/cje.2019.03.002
|
[12] |
K. Tang, R. Shi, Y. Guo, et al., “An adaptive transmission scheme in cooperative relay networks with energy accumulation,” Chinese Journal of Electronics, vol.28, no.1, pp.152–161, 2019. doi: 10.1049/cje.2018.08.002
|
[13] |
Y. Deng, Z. Chen, X. Yao, et al., “Parallel offloading in green and sustainable mobile edge computing for delayconstrained IoT system,” IEEE Trans. Vehi. Technol., vol.68, no.12, pp.12202–12214, 2019. doi: 10.1109/TVT.2019.2944926
|
[14] |
V. Hakami, S. Mostafavi, N. T. Javan, et al., “An optimal policy for joint compression and transmission control in delay-constrained energy harvesting IoT devices,” Computer Communications, vol.160, pp.554–566, 2020. doi: 10.1016/j.comcom.2020.07.005
|
[15] |
N. Ashraf, A. Hasan, H. K. Qureshi, et al., “Combined data rate and energy management in harvesting enabled tactile IoT sensing devices,” IEEE Trans. Industrial Informatics, vol.15, no.5, pp.3006–3015, 2019. doi: 10.1109/TII.2019.2900795
|
[16] |
R. Shen, D. Zhang, Y. Zhang, et al., “A block prefetching framework for energy harvesting IoT devices,” IEEE IoT J., vol.7, no.4, pp.3427–3440, 2020.
|
[17] |
L. Guntupalli, M. Gidlund, and F. Y. Li, “An ondemand energy requesting scheme for wireless energy harvesting powered IoT networks,” IEEE IoT J., vol.5, no.4, pp.2868–2879, 2018.
|
[18] |
J. Yang and S. Ulukus, “Optimal packet scheduling in an energy harvesting communication system,” IEEE Trans. Commun., vol.60, no.1, pp.220–230, 2012. doi: 10.1109/TCOMM.2011.112811.100349
|
[19] |
D. Jiao, L. Ke, S. Liu, et al., “Optimal energy-delay in energy harvesting wireless sensor networks with interference channels,” Sensors, vol.19, no.4, article no.785, 2019.
|
[20] |
B. Gurakan, O. Ozel, J. Yang, et al., “Energy cooperation in energy harvesting communications,” IEEE Trans. Commun., vol.61, no.12, pp.4884–4898, 2013. doi: 10.1109/TCOMM.2013.110113.130184
|
[21] |
K. S. Adu-Manu, N. Adam, C. Tapparello, et al., “Energyharvesting wireless sensor networks (EH-WSNs): A review,” ACM Trans. Sensor Networks, vol.14, no.2, pp.1–50, 2018.
|
[22] |
A. Kansal, J. Hsu, S. Zahedi, et al., “Power management in energy harvesting sensor networks,” ACM Trans. Embedded Computing Systems, vol.6, no.4, pp.32–es, 2007. doi: 10.1145/1274858.1274870
|
[23] |
O. Nourredine and B. Menouar, “A petri net modeling for WSN sensors with renewable energy harvesting capability,” Int. Conf. on Artificial Intelligence, Tipaza, Algeria, pp.524–534, 2019.
|
[24] |
H. Azarhava and J. Musevi Niya, “Energy efficient resource allocation in wireless energy harvesting sensor networks,” IEEE Wireless Commun. Lett., vol.9, no.7, pp.1000–1003, 2020.
|
[25] |
R. Garg and N. Garg, “Energy management in a multi-source energy harvesting IoT system,” J. of Information Technology Research, vol.13, no.2, pp.42–59, 2020. doi: 10.4018/JITR.2020040103
|
[26] |
W. Xu, W. Cheng, Y. Zhang, et al., “On the optimization model for multi-hop information transmission and energy transfer in TDMA-based wireless sensor networks,” IEEE Commun. Lett., vol.21, no.5, pp.1095–1098, 2017. doi: 10.1109/LCOMM.2017.2652443
|
[27] |
Y.-h. Zhu and V. C. M. Leung, “Efficient power management for infrastructure IEEE 802.11 WLANs,” IEEE Trans. Wireless Commun., vol.9, no.7, pp.2196–2205, 2010. doi: 10.1109/TWC.2010.07.081493
|
[28] |
Y.-h. Zhu, S. Gong, K. Chi, et al., “Optimizing superframe and data buffer to achieve maximum throughput for 802.15.4 based energy harvesting wireless sensor networks,” IEEE IoT J., vol.8, no.5, pp.3689–3704, 2021. doi: 10.1109/JIOT.2020.3024615
|
[29] |
Y.-h. Zhu and V. C.M. Leung, “Derivation of moving distance distribution to enhance sequential paging in distance-based mobility management for PCS networks,” IEEE Trans. Wireless Commun., vol.5, no.11, pp.3029–3033, 2006.
|
[30] |
S. M. Ross, Introduction to Probability Models, 11th ed., Elsevier Academic Press, 2014.
|
[31] |
IEEE Std 802.15.4:2011, IEEE Standard for Local and Metropolitan Area Networks−Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs).
|
[32] |
P. Boccadoro, M. Barile, G. Piro, et al., “Energy consumption analysis of TSCH-enabled platforms for the industrial-IoT,” 2016 IEEE 2nd Int. Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), Bologna, Italy, pp.1–5, 2016.
|
[33] |
NXP Semiconductors, “Calculating 802-15-4 data rates,” Document, JN-AN-1035, Rev.1.4, https://www.nxp.com/docs/en/application-note/JN-AN-1035.pdf, 2020-04-28.
|
[34] |
Y.-h. Zhu, S. Qiu, K. Chi, et al., “Latency aware IPv6 packet delivery scheme over IEEE 802.15.4 based battery-free wireless sensor networks,” IEEE Trans. Mobile Computing, vol.16, no.6, pp.1691–1704, 2017. doi: 10.1109/TMC.2016.2601906
|