Lifetime maximization in rechargeable wireless sensor networks with charging interference

Yi Qu; Ke Xu; Haiyang Wang; Dan Wang; Bo Wu

doi:10.1109/PCCC.2015.7410265

Lifetime maximization in rechargeable wireless sensor networks with charging interference

Yi Qu, Ke Xu, Haiyang Wang, Dan Wang, Bo Wu

Computer Science (Duluth)

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

2 Scopus citations

Abstract

Radio Frequency based Wireless Power Transfer (RF-WPT) technology is recognized as a promising way to charge low-power wireless devices. But the application of RF-WPT in wireless sensor networks also introduces charging interference to wireless communications. The network lifetime maximization by jointly considering wireless charging and data transmission under interference concerns, however, has seldom been examined. In this paper, we take initial steps to consider communication and charger scheduling together in wireless sensor networks. We propose a smart interference-aware scheduling to maximize the network lifetime and avoid potential data loss caused by charging interference. The evaluation result indicates that the proposed design can guarantee 99% optimality and significantly improve network lifetime.

Original language	English (US)
Title of host publication	2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467385909
DOIs	https://doi.org/10.1109/PCCC.2015.7410265
State	Published - Feb 17 2016
Event	34th IEEE International Performance Computing and Communications Conference, IPCCC 2015 - Nanjing, China Duration: Dec 14 2015 → Dec 16 2015

Publication series

Name	2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015

Other

Other	34th IEEE International Performance Computing and Communications Conference, IPCCC 2015
Country/Territory	China
City	Nanjing
Period	12/14/15 → 12/16/15

Bibliographical note

Funding Information:
This work has been supported in part by NSFC Project (61170292, 61472212),National Science and Technology Major Project (2015ZX03003004), 973 Project of China (2012CB315803), 863 Project of China (2013AA013302, 2015AA01560l), EU MARIE CURIE ACTIONS EVANS (PIRSES-GA-2013-610524) and multidisciplinary fund of Tsinghua National Laboratory for Information Science and Technology

Publisher Copyright:
© 2015 IEEE.

Publisher link

10.1109/PCCC.2015.7410265

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Qu, Y., Xu, K., Wang, H., Wang, D., & Wu, B. (2016). Lifetime maximization in rechargeable wireless sensor networks with charging interference. In 2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015 Article 7410265 (2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCCC.2015.7410265

Lifetime maximization in rechargeable wireless sensor networks with charging interference. / Qu, Yi; Xu, Ke; Wang, Haiyang et al.
2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7410265 (2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015).

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

Qu, Y, Xu, K, Wang, H, Wang, D & Wu, B 2016, Lifetime maximization in rechargeable wireless sensor networks with charging interference. in 2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015., 7410265, 2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015, Institute of Electrical and Electronics Engineers Inc., 34th IEEE International Performance Computing and Communications Conference, IPCCC 2015, Nanjing, China, 12/14/15. https://doi.org/10.1109/PCCC.2015.7410265

Qu Y, Xu K, Wang H, Wang D, Wu B. Lifetime maximization in rechargeable wireless sensor networks with charging interference. In 2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7410265. (2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015). doi: 10.1109/PCCC.2015.7410265

Qu, Yi ; Xu, Ke ; Wang, Haiyang et al. / Lifetime maximization in rechargeable wireless sensor networks with charging interference. 2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. (2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015).

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abstract = "Radio Frequency based Wireless Power Transfer (RF-WPT) technology is recognized as a promising way to charge low-power wireless devices. But the application of RF-WPT in wireless sensor networks also introduces charging interference to wireless communications. The network lifetime maximization by jointly considering wireless charging and data transmission under interference concerns, however, has seldom been examined. In this paper, we take initial steps to consider communication and charger scheduling together in wireless sensor networks. We propose a smart interference-aware scheduling to maximize the network lifetime and avoid potential data loss caused by charging interference. The evaluation result indicates that the proposed design can guarantee 99% optimality and significantly improve network lifetime.",

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note = "Funding Information: This work has been supported in part by NSFC Project (61170292, 61472212),National Science and Technology Major Project (2015ZX03003004), 973 Project of China (2012CB315803), 863 Project of China (2013AA013302, 2015AA01560l), EU MARIE CURIE ACTIONS EVANS (PIRSES-GA-2013-610524) and multidisciplinary fund of Tsinghua National Laboratory for Information Science and Technology Publisher Copyright: {\textcopyright} 2015 IEEE.; 34th IEEE International Performance Computing and Communications Conference, IPCCC 2015 ; Conference date: 14-12-2015 Through 16-12-2015",

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N1 - Funding Information: This work has been supported in part by NSFC Project (61170292, 61472212),National Science and Technology Major Project (2015ZX03003004), 973 Project of China (2012CB315803), 863 Project of China (2013AA013302, 2015AA01560l), EU MARIE CURIE ACTIONS EVANS (PIRSES-GA-2013-610524) and multidisciplinary fund of Tsinghua National Laboratory for Information Science and Technology Publisher Copyright: © 2015 IEEE.

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N2 - Radio Frequency based Wireless Power Transfer (RF-WPT) technology is recognized as a promising way to charge low-power wireless devices. But the application of RF-WPT in wireless sensor networks also introduces charging interference to wireless communications. The network lifetime maximization by jointly considering wireless charging and data transmission under interference concerns, however, has seldom been examined. In this paper, we take initial steps to consider communication and charger scheduling together in wireless sensor networks. We propose a smart interference-aware scheduling to maximize the network lifetime and avoid potential data loss caused by charging interference. The evaluation result indicates that the proposed design can guarantee 99% optimality and significantly improve network lifetime.

AB - Radio Frequency based Wireless Power Transfer (RF-WPT) technology is recognized as a promising way to charge low-power wireless devices. But the application of RF-WPT in wireless sensor networks also introduces charging interference to wireless communications. The network lifetime maximization by jointly considering wireless charging and data transmission under interference concerns, however, has seldom been examined. In this paper, we take initial steps to consider communication and charger scheduling together in wireless sensor networks. We propose a smart interference-aware scheduling to maximize the network lifetime and avoid potential data loss caused by charging interference. The evaluation result indicates that the proposed design can guarantee 99% optimality and significantly improve network lifetime.

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Lifetime maximization in rechargeable wireless sensor networks with charging interference

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