The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Energy Provisioning in Wireless Rechargeable Sensor Networks
Abstract
Wireless rechargeable sensor networks (WRSNs) have emerged as an alternative to solving the challenges of size and operation time posed by traditional battery-powered systems. In this paper, we study a WRSN built from the industrial wireless identification and sensing platform (WISP) and commercial off-the-shelf RFID readers. The paper-thin WISP tags serve as sensors and can harvest energy from RF signals transmitted by the readers. This kind of WRSNs is highly desirable for indoor sensing and activity recognition and is gaining attention in the research community. One fundamental question in WRSN design is how to deploy readers in a network to ensure that the WISP tags can harvest sufficient energy for continuous operation. We refer to this issue as the energy provisioning problem. Based on a practical wireless recharge model supported by experimental data, we investigate two forms of the problem: point provisioning and path provisioning. Point provisioning uses the least number of readers to ensure that a static tag placed in any position of the network will receive a sufficient recharge rate for sustained operation. Path provisioning exploits the potential mobility of tags (e.g., those carried by human users) to further reduce the number of readers necessary: mobile tags can harvest excess energy in power-rich regions and store it for later use in power-deficient regions. Our analysis shows that our deployment methods, by exploiting the physical characteristics of wireless recharging, can greatly reduce the number of readers compared with those assuming traditional coverage models.
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Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002) · IEEE Communications Magazine · doi:10.1109/mcom.2002.1024422 · Cited by 13,644
Wireless Power Transfer via Strongly Coupled Magnetic Resonances
Kurs, A., Karalis, A., Moffatt, R., Joannopoulos, J. D., Fisher, P., & Soljačić, M. (2007) · Science · doi:10.1126/science.1143254 · Cited by 5,576
RFID security and privacy: a research survey
Juels, A. (2006) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2005.861395 · Cited by 1,911
Maintaining Sensing Coverage and Connectivity in Large Sensor Networks
Zhang, H., & Hou, J. (2005) · Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless, and Peer-to-Peer Networks · doi:10.1201/9780203323687.ch28 · Cited by 1,500
Integrated coverage and connectivity configuration in wireless sensor networks
Wang, X., Xing, G., Zhang, Y., Lu, C., Pless, R., & Gill, C. (2003) · Proceedings of the 1st international conference on Embedded networked sensor systems · doi:10.1145/958491.958496 · Cited by 1,265
Self-citationDesign of an RFID-Based Battery-Free Programmable Sensing Platform
Sample, A. P., Yeager, D. J., Powledge, P. S., Mamishev, A. V., & Smith, J. R. (2008) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2008.925019 · Cited by 894
Human-powered wearable computing
Starner, T. (1996) · IBM Systems Journal · doi:10.1147/sj.353.0618 · Cited by 876
Vibration-to-electric energy conversion
Meninger, S., Mur-Miranda, J. O., Amirtharajah, R., Chandrakasan, A., & Lang, J. H. (2001) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/92.920820 · Cited by 867
Design considerations for solar energy harvesting wireless embedded systems
Raghunathan, V., Kansal, A., Hsu, J., Friedman, J., & Srivastava, M. (2005) · IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005. · doi:10.1109/ipsn.2005.1440973 · Cited by 791
Methods of Numerical Integration
Rall, L. B., Davis, P. J., & Rabinowitz, P. (1976) · Mathematics of Computation · doi:10.2307/2005342 · Cited by 753
Cited by
Advances in Energy Harvesting Communications: Past, Present, and Future Challenges
Ku, M.-L., Li, W., Chen, Y., & Ray Liu, K. J. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2497324 · Cited by 606
Narrowband Internet of Things: Implementations and Applications
Chen, J., Hu, K., Wang, Q., Sun, Y., Shi, Z., & He, S. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2764475 · Cited by 292
Self-citationJoint Mobile Data Gathering and Energy Provisioning in Wireless Rechargeable Sensor Networks
Guo, S., Wang, C., & Yang, Y. (2014) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2014.2307332 · Cited by 263
Indoor Anti-Collision Alarm System Based on Wearable Internet of Things for Smart Healthcare
Xiao, F., Miao, Q., Xie, X., Sun, L., & Wang, R. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700706 · Cited by 40
Metadata
- Authors
- He, S., Chen, J., Jiang, F., Yau, D. K. Y., Xing, G., & Sun, Y.
- Venue
- IEEE Transactions on Mobile Computing
- Published
- 2013-10
- Volume
- 12
- Issue
- 10
- Pages
- 1931-1942
- ISSN
- 1536-1233 (ISSN-L)
- OpenAlex
- W2116385515
- Cited by
- 624
- References
- 18
- FWCI
- 16.07
- Type
- journal article
- Language
- en
- Open access
- closed
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- He, S., Chen, J., Jiang, F., Yau, D. K. Y., Xing, G., & Sun, Y. (2013). Energy Provisioning in Wireless Rechargeable Sensor Networks. IEEE Transactions on Mobile Computing. https://doi.org/10.1109/tmc.2012.161
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