AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Tsinghua Science and Technology Article
PDF (981 KB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

Sensorless Sensing with WiFi

Zimu Zhou, Chenshu Wu, Zheng Yang( ), Yunhao Liu
School of Software and TNList, Tsinghua University, Beijing 100084, China.
Show Author Information

Abstract

Can WiFi signals be used for sensing purpose? The growing PHY layer capabilities of WiFi has made it possible to reuse WiFi signals for both communication and sensing. Sensing via WiFi would enable remote sensing without wearable sensors, simultaneous perception and data transmission without extra communication infrastructure, and contactless sensing in privacy-preserving mode. Due to the popularity of WiFi devices and the ubiquitous deployment of WiFi networks, WiFi-based sensing networks, if fully connected, would potentially rank as one of the world's largest wireless sensor networks. Yet the concept of wireless and sensorless sensing is not the simple combination of WiFi and radar. It seeks breakthroughs from dedicated radar systems, and aims to balance between low cost and high accuracy, to meet the rising demand for pervasive environment perception in everyday life. Despite increasing research interest, wireless sensing is still in its infancy. Through introductions on basic principles and working prototypes, we review the feasibilities and limitations of wireless, sensorless, and contactless sensing via WiFi. We envision this article as a brief primer on wireless sensing for interested readers to explore this open and largely unexplored field and create next-generation wireless and mobile computing applications.

Keywords

ubiquitous computingactivity recognitionChannel State Information (CSI)sensorless sensingWiFiindoor localizationdevice-free human detectionwireless networks

References

[1]
Ralston T., Charvat G., and Peabody J., Real-time Through-wall Imaging using an Ultrawideband Multiple-Input Multiple-Output (MIMO) phased array radar system, in Proc. of 4th IEEE Int. Symposium on Phased Array Systems and Technology, Boston, USA, 2010, pp. 551-558.
Crossref
[2]
Youssef M., Mah M., and Agrawala A., Challenges: Device-free passive localization for wireless environments, in Proc. of 13th ACM Annual Int. Conf. on Mobile Computing and Networking, Montreal, Canada, 2007, pp. 222-229.
Crossref
[3]
Wilson J. and Patwari N., Radio tomographic imaging with wireless networks, IEEE Trans. Mobile Comput., vol. 9, no. 5, pp. 621-632, 2010.
Crossref Google Scholar
[4]
Zhou Z., Yang Z., Wu C., Shangguan L., and Liu Y., Towards omnidirectional passive human detection, in Proc. of 32nd IEEE Int. Conf. on Computer Communications, Turin, Italy, 2013, pp. 3057-3065.
Crossref
[5]
Xi W., Zhao J., Li X.-Y., Zhao K., Tang S., Liu X., and Jiang Z., Electronic frog eye: Counting crowd using WiFi, in Proc. of 33rd IEEE Int. Conf. on Computer Communications, Toronto, Canada, 2014, pp. 361-369.
Crossref
[6]
Pu Q., Gupta S., Gollakota S., and Patel S., Whole-home gesture recognition using wireless signals, in Proc. of 19th ACM Annual Int. Conf. on Mobile Computing and Networking, Miami, USA, 2013, pp. 27-38.
Crossref
[7]
Wang Y., Liu J., Chen Y., Gruteser M., Yang J., and Liu H., E-eyes: Device-free location-oriented activity identification using fine-grained WiFi, in Proc. of 20th ACM Annual Int. Conf. on Mobile Computing and Networking, Maui, USA, 2014, pp. 617-628.
Crossref
[8]
Wang G., Zou Y., Zhou Z., Wu K., and Ni L. M., We can hear you with Wi-Fi! in Proc. of 20th ACM Annual Int. Conf. on Mobile Computing and Networking, Maui, USA, 2014, pp. 593-604.
Crossref
[9]
Melgarejo P., Zhang X., Ramanathan P., and Chu D., Leveraging directional antenna capabilities for fine-grained gesture recognition, in Proc. of 2014 ACM Int. Joint Conf. on Pervasive and Ubiquitous Computing, Seattle, USA, 2014, pp. 541-551.
Crossref
[10]
Liu X., Cao J., Tang S., and Wen J., Wi-Sleep: Contactless sleep monitoring via WiFi signals, in Proc. of 35th IEEE Real-Time Systems Symposium, Rome, Italy, 2014.
Crossref
[11]
Wu K., Xiao J., Yi Y., Gao M., and Ni L. M., FILA: Fine-grained indoor localization, in Proc. of 31st IEEE Int. Conf. on Computer Communications, Orlando, USA, 2012, pp. 2210-2218.
Crossref
[12]
Halperin D., Hu W., Sheth A., and Wetherall D., Predictable 802.11 packet delivery from wireless channel measurements, in Proc. of ACM SIGCOMM 2010 Conf., New Delhi, India, 2010, pp. 159-170.
Crossref
[13]
Yang Z., Zhou Z., and Liu Y., From RSSI to CSI: Indoor localization via channel response, ACM Comput. Surv., vol. 46, pp. 25:1-25:32, 2014.
Crossref Google Scholar
[14]
Zhou Z., Yang Z., Wu C., Sun W., and Liu Y., LiFi: Line-of-sight identification with WiFi, in Proc. of 33rd IEEE Int. Conf. on Computer Communications, Toronto, Canada, 2014, pp. 2688-2696.
Crossref
[15]
Wu C., Yang Z., Zhou Z., Qian K., Liu Y., and Liu M., PhaseU: Real-time LOS identification with WiFi, in Proc. of 34th IEEE Int. Conf. on Computer Communications, Hong Kong, China, 2015.
Crossref
[16]
Yang L., Chen Y., Li X.-Y., Xiao C., Li M., and Liu Y., Tagoram: Real-time tracking of mobile RFID tags to high precision using COTS devices, in Proc. of 20th ACM Annual Int. Conf. on Mobile Computing and Networking, Maui, USA, 2014, pp. 237-248.
Crossref
[17]
Wang Y., Zhou Z., and Wu K., Sensor-free corner shape detection by wireless networks, in Proc. of 20th IEEE Int. Conf. on Parallel and Distributed Systems, Hsinchu, Taiwan, China, 2014.
Crossref
[18]
Zhang C., Li F., Luo J., and He Y., iLocScan: Harnessing multipath for simultaneous indoor source localization and space scanning, in Proc. of 12th ACM Conf. on Embedded Network Sensor Systems, Memphis, USA, 2014, pp. 91-104.
Crossref
[19]
Xiao J., Wu K., Yi Y., Wang L., and Ni L. M., Pilot: Passive device-free indoor localization using channel state information, in Proc. of 33rd IEEE Int. Conf. on Distributed Computing Systems, Philadelphia, USA, 2013, pp. 236-245.
Crossref
[20]
Han C., Wu K., Wang Y., and Ni L., WiFall: Device-free fall detection by wireless networks, in Proc. of 33rd IEEE Int. Conf. on Computer Communications, Toronto, Canada, 2014, pp. 271-279.
Crossref
[21]
Colone F., Woodbridge K., Guo H., Mason D., and Baker C., Ambiguity function analysis of wireless LAN transmissions for passive radar, IEEE Trans. Aerosp. Electron. Syst., vol. 47, no. 1, pp. 240-264, 2011.
Crossref Google Scholar
[22]
Adib F. and Katabi D., See through walls with Wi-Fi! in Proc. of ACM SIGCOMM 2013 Conf., Hong Kong, China, 2013, pp. 75-86.
Crossref
[23]
Huang D., Nandakumar R., and Gollakota S., Feasibility and limits of Wi-fi imaging, in Proc. of 12th ACM Conf. on Embedded Network Sensor Systems, Memphis, USA, 2014, pp. 266-279.
Crossref
Tsinghua Science and Technology
Volume 20 Issue 1,
February 2015
Pages 1-6
DOI: 10.1109/TST.2015.7040509
Cite this article:
Zhou Z, Wu C, Yang Z, et al. Sensorless Sensing with WiFi. Tsinghua Science and Technology, 2015, 20(1): 1-6. https://doi.org/10.1109/TST.2015.7040509

727

Views

73

Downloads

93

Crossref

N/A

Web of Science

112

Scopus

9

CSCD

Altmetrics
Received: 05 December 2014
Accepted: 28 December 2014
Published: 12 February 2015
© The authors 2015
Return