Charging Time Minimized Charging Schemes for RF-powered Sensor Network with Moving Trajectory Constrained Mobile Energy Transmitter

Kaikai CHI; Yinan ZHU; Qike SHAO

doi:10.11999/JEIT171204

Volume 40 Issue 9

Aug. 2018

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(9): 2064-2071

Kaikai CHI, Yinan ZHU, Qike SHAO. Charging Time Minimized Charging Schemes for RF-powered Sensor Network with Moving Trajectory Constrained Mobile Energy Transmitter[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2064-2071. doi: 10.11999/JEIT171204

Citation:

Kaikai CHI, Yinan ZHU, Qike SHAO. Charging Time Minimized Charging Schemes for RF-powered Sensor Network with Moving Trajectory Constrained Mobile Energy Transmitter[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2064-2071. doi: 10.11999/JEIT171204

Citation:

PDF( 1436 KB)

Charging Time Minimized Charging Schemes for RF-powered Sensor Network with Moving Trajectory Constrained Mobile Energy Transmitter

doi: 10.11999/JEIT171204

Kaikai CHI^{1
,
,},
Yinan ZHU^{1, 2},
Qike SHAO¹

1.
School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China
2.
Jianxing Honors College, Zhejiang University of Technology, Hangzhou 310023, China

Funds: The National Natural Science Foundation of China (61472367, 61432015), The Natural Science Foundation of Zhejiang Province (LY18F020029)

Received Date: 2017-12-21
Rev Recd Date: 2018-05-02

Available Online: 2018-07-12

Publish Date: 2018-09-01

Abstract

Abstract

Radio-Frequency (RF) energy harvesting technique is proved a promising way to solve the short network lifetime issue of traditional Wireless Sensor Networks (WSNs) caused by sensors' finite energy. In the existing charging schemes using the mobile RF Energy Transmitter (ET), ET can move to any location along any moving direction in the monitoring area for energy provision. However, in the practical scenario, ET can only move along the existing roads. For the first time, the charging time minimization issue is considered under the moving trajectory constraint. The Mobile Charging (MC) scheme where ET transmits RF energy while moving and the Static Charging (SC) scheme where ET transmits RF energy while unmoving are proposed, whose the moving trajectory and energy provision time are optimized by the proposed efficient algorithms. Simulation results reveal that the total charging delay of proposed schemes is smaller than the baseline scheme of transmitting energy at turning points. The MC scheme has lower computational complexity but has a slightly larger charging delay as compared to the SC scheme.
- Radio-Frequency (RF)-powered sensor networks,
- Wireless charging,
- Moving trajectory constraint,
- Minimum charging time

FullText(HTML)

References(13)

References

LU Xiao, WANG Ping, NIYATO D, et al. Wireless networks with RF energy harvesting: A contemporary survey[J]. IEEE Communications Surveys&Tutorials, 2015, 17(2): 757–789 doi: 10.1109/COMST.2014.2368999

DAI Haipeng, LIU Yunhuai, CHEN Guihai, et al. Safe charging for wireless power transfer[J]. IEEE/ ACM Transactions on Networking, 2017, 25(6): 3531–3544 doi: 10.1109/TNET.2017.2750323

KU Menglin, LI Wei, CHEN Yari, et al. Advances in energy harvesting communications: Past, present, and future challenges[J]. IEEE Communications Surveys&Tutorials, 2016, 18(2): 1384–1412 doi: 10.1109/COMST.2015.2497324

DAI Haipeng, WANG Xiaoyu, LIU Xiangyang, et al. Optimizing wireless charger placement for directional charging[C]. IEEE International Conference on Computer Communications (INFOCOM), Atlanta, USA, 2017: 1–9. doi: 10.1109/INFOCOM.2017.8057017.

GUO Songtao, WANG Cong, and YANG Yuanyuan. Joint mobile data gathering and energy provisioning in wireless rechargeable sensor networks[J]. IEEE Transactions on Mobile Computing, 2014, 13(12): 2836–2852 doi: 10.1109/TMC.2014.2307332

XU Junyi, YUAN Xiaohui, WEI Zhenchun, et al. A wireless sensor network recharging strategy by balancing lifespan of sensor nodes[C]. Wireless Communications and Networking Conference (WCNC). San Francisco, USA, 2017: 1–6. doi: 10.1109/WCNC.2017.7925625.

DAI Haipeng, JIANG Lintong, WU Xiaobing, et al. Near optimal charging and scheduling scheme for stochastic event capture with rechargeable sensors[C]. International Conference on Mobile Ad-Hoc and Sensor Systems (MASS), Hangzhou, China, 2013: 10–18. doi: 10.1109/MASS.2013.60.

XIE Liguang, SHI Yi, HOU T, et al. On renewable sensor networks with wireless energy transfer: The multi-node case[C]. Sensor, Mesh and Ad Hoc Communications and Networks (SECON), Seoul, South Korea, 2012: 10–18. doi: 10.1109/SECON.2012.6275766.

SHU Yuanchao, YOUSEFI H, CHENG Peng, et al. Near-optimal velocity control for mobile charging in wireless rechargeable sensor networks[J]. IEEE Transactions on Mobile Computing, 2016, 15(7): 1699–1713 doi: 10.1109/TMC.2015.2473163

FU Lingkun, CHENG Peng, GU Yu, et al. Minimizing charging delay in wireless rechargeable sensor networks[C]. International Conference on Computer Communications (INFOCOM), Turin, Italy. 2013: 2922–2930. doi: 10.1109/INFCOM.2013.6567103.

CHEN Feiyu, ZHAO Zhiwei, MIN Geyong, et al. Speed control of mobile chargers serving wireless rechargeable networks[J]. Future Generation Computer Systems, 2018, 80: 242–249 doi: 10.1016/j.future.2016.12.011

FU Lingkun, HE Liang, CHENG Peng, et al. ESync: Energy synchronized mobile charging in rechargeable Wireless Sensor Networks[J]. IEEE Transactions on Vehicular Technology, 2016, 65(9): 7415–7431 doi: 10.1109/TVT.2015.2481920

HE Shibo, CHEN Jiming, JIANG Fachang, et al. Energy provisioning in wireless rechargeable sensor networks[C]. International Conference on Computer Communications (INFOCOM), Shanghai, China, 2011: 2006–2014.

Relative Articles

Supplements(0)

Cited By

Proportional views