The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
BackFi: High Throughput WiFi Backscatter
Open accessAbstract
We present BackFi, a novel communication system that enables high throughput, long range communication between very low power backscatter devices and WiFi APs using ambient WiFi transmissions as the excitation signal. Specifically, we show that it is possible to design devices and WiFi APs such that the WiFi AP in the process of transmitting data to normal WiFi clients can decode backscatter signals which the devices generate by modulating information on to the ambient WiFi transmission. We show via prototypes and experiments that it is possible to achieve communication rates of up to 5 Mbps at a range of 1 m and 1 Mbps at a range of 5 meters. Such performance is an order to three orders of magnitude better than the best known prior WiFi backscatter system [27,25]. BackFi design is energy efficient, as it relies on backscattering alone and needs insignificant power, hence the energy consumed per bit is small.
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Cites
(2007) · Electronics: A First Course · doi:10.4324/9780080477527-64 · Cited by 24,923
A review of wearable sensors and systems with application in rehabilitation
Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-21 · Cited by 2,396
Bharadia, D., McMilin, E., & Katti, S. (2013) · Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM · doi:10.1145/2486001.2486033 · Cited by 1,817
Self-citationAchieving single channel, full duplex wireless communication
Choi, J. I., Jain, M., Srinivasan, K., Levis, P., & Katti, S. (2010) · Proceedings of the sixteenth annual international conference on Mobile computing and networking · doi:10.1145/1859995.1859997 · Cited by 1,524
Self-citationExperiment-Driven Characterization of Full-Duplex Wireless Systems
Duarte, M., Dick, C., & Sabharwal, A. (2012) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2012.102612.111278 · Cited by 1,423
Practical, real-time, full duplex wireless
Jain, M., Choi, J. I., Kim, T., Bharadia, D., Seth, S., Srinivasan, K., Levis, P., Katti, S., & Sinha, P. (2011) · Proceedings of the 17th annual international conference on Mobile computing and networking · doi:10.1145/2030613.2030647 · Cited by 1,367
Self-citationAmbient backscatter: wireless communication out of thin air
Liu, V., Parks, A., Talla, V., Gollakota, S., Wetherall, D., & Smith, J. R. (2013) · Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM · doi:10.1145/2486001.2486015 · Cited by 1,060
Linear diversity combining techniques
Brennan, D. G. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2002.808163 · Cited by 817
1Passive Self-Interference Suppression for Full-Duplex Infrastructure NodesPreprint
Everett, E., Sahai, A., & Sabharwal, A. (2016) · Cited by 600
Wi-fi backscatter: internet connectivity for RF-powered devices
Kellogg, B., Parks, A., Gollakota, S., Smith, J. R., & Wetherall, D. (2014) · Proceedings of the 2014 ACM conference on SIGCOMM · doi:10.1145/2619239.2626319 · Cited by 568
Cited by
Ambient Backscatter Communications: A Contemporary Survey
Van Huynh, N., Hoang, D. T., Lu, X., Niyato, D., Wang, P., & Kim, D. I. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2841964 · Cited by 932
Inter-Technology Backscatter: Towards Internet Connectivity for Implanted Devices
Iyer, V., Talla, V., Kellogg, B., Gollakota, S., & Smith, J. (2016) · Proceedings of the 2016 ACM SIGCOMM Conference · doi:10.1145/2934872.2934894 · Cited by 367
Cloud-Aided Cognitive Ambient Backscatter Wireless Sensor Networks
Darsena, D., Gelli, G., & Verde, F. (2019) · IEEE Access · doi:10.1109/access.2019.2914001 · Cited by 36
Metadata
- Authors
- Bharadia, D., Joshi, K. R., Kotaru, M., & Katti, S.
- Venue
- Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication
- Publisher
- ACM
- Published
- 2015-08-17
- Pages
- 283-296
- OpenAlex
- W1994803221
- Cited by
- 337
- References
- 27
- FWCI
- 53.40
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Bharadia, D., Joshi, K. R., Kotaru, M., & Katti, S. (2015). BackFi: High Throughput WiFi Backscatter. Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication. https://doi.org/10.1145/2785956.2787490
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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