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Enabling Reliable, Asynchronous, and Bidirectional Communication in Sensor Networks over White Spaces

Published: 06 November 2017 Publication History

Abstract

Low-Power Wide-Area Network (LPWAN) heralds a promising class of technology to overcome the range limits and scalability challenges in traditional wireless sensor networks. Recently proposed Sensor Network over White Spaces (SNOW) technology is particularly attractive due to the availability and advantages of TV spectrum in long-range communication. This paper proposes a new design of SNOW that is asynchronous, reliable, and robust. It represents the first highly scalable LPWAN over TV white spaces to support reliable, asynchronous, bi-directional, and concurrent communication between numerous sensors and a base station. This is achieved through a set of novel techniques. This new design of SNOW has an OFDM based physical layer that adopts robust modulation scheme and allows the base station using a single antenna-radio (1) to send different data to different nodes concurrently and (2) to receive concurrent transmissions made by the sensor nodes asynchronously. It has a lightweight MAC protocol that (1) efficiently implements per-transmission acknowledgments of the asynchronous transmissions by exploiting the adopted OFDM design; (2) combines CSMA/CA and location-aware spectrum allocation for mitigating hidden terminal effects, thus enhancing the flexibility of the nodes in transmitting asynchronously. Hardware experiments through deployments in three radio environments - in a large metropolitan city, in a rural area, and in an indoor environment - as well as large-scale simulations demonstrated that the new SNOW design drastically outperforms other LPWAN technologies in terms of scalability, energy, and latency.

References

[1]
Microsoft 4AFRIKA. 2017. (2017). http://www.microsoft.com/africa/4afrika/.
[2]
Ferran Adelantado, Xavier Vilajosana, Pere Tuset-Peiro, Borja Martinez, Joan Melia-Segui, and Thomas Watteyne. 2017. Understanding the Limits of LoRaWAN. IEEE Communications Magazine (January 2017).
[3]
Paramvir Bahl, Ranveer Chandra, Thomas Moscibroda, Rohan Murty, and Matt Welsh. 2009. White space networking with wi-fi like connectivity. ACM SIGCOMM Computer Communication Review 39, 4 (2009), 27--38.
[4]
Raamkumar Balamurthi, Harshit Joshi, Cong Nguyen, Ahmed K Sadek, Stephen J Shellhammer, and Cong Shen. 2011. A TV white space spectrum sensing prototype. In New frontiers in dynamic spectrum access networks (DySPAN), 2011 IEEE symposium on. IEEE, 297--307.
[5]
Bluetooth {n. d.}. ({n. d.}). http://www.bluetooth.com.
[6]
Martin Bor, Utz Roedig, Thiemo Voigt, and Juan Alonso. 2016. Do LoRa low-power wide-area networks scale? (2016).
[7]
CC1070 {n. d.}. ({n. d.}). http://www.ti.com/product/CC1070.
[8]
Ranveer Chandra, Ratul Mahajan, Thomas Moscibroda, Ramya Raghavendra, and Paramvir Bahl. 2008. A Case for Adapting Channel Width in Wireless Networks. In SIGCOMM '08.
[9]
D. Chen, S. Yin, Q. Zhang, M. Liu, and S. Li. 2009. Mining spectrum usage data: a large-scale spectrum measurement study. In MobiCom '09.
[10]
Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, and Andreas Terzis. 2010. Design and evaluation of a versatile and efficient receiver-initiated link layer for low-power wireless. In SenSys '10.
[11]
X. Feng, J. Zhang, and Q. Zhang. 2011. Database-assisted multi-AP network on TV white spaces: Architecture, spectrum allocation and AP discovery. In DySpan '11.
[12]
TV White Spaces Africa Forum. 2013. (2013). https://sites.google.com/site/tvwsafrica2013/.
[13]
GNU Radio {n. d.}. ({n. d.}). http://gnuradio.org.
[14]
D. Gurney, G. Buchwald, L. Ecklund, S. Kuffner, and J. Grosspietsch. 2008. Geo-location database techniques for incumbent protection in TV. In DySpan '08.
[15]
IEEE 802.11 {n. d.}. ({n. d.}). http://www.ieee802.org/11.
[16]
IEEE 802.11af {n. d.}. ({n. d.}). http://www.radio-electronics.com/info/wireless/wi-fi/ieee-802-11af-white-fi-tv-space.php.
[17]
IEEE 802.15.4 {n. d.}. ({n. d.}). http://standards.ieee.org/about/get/802/802.15.html.
[18]
IEEE 802.15.4c {n. d.}. ({n. d.}). https://standards.ieee.org/findstds/standard/802.15.4c-2009.html.
[19]
IEEE 802.19 {n. d.}. ({n. d.}). http://www.ieee802.org/19/.
[20]
IEEE 802.22 {n. d.}. ({n. d.}). http://www.ieee802.org/22/.
[21]
Dali Ismail, Mahbubur Rahman, Abusayeed Saifullah, and Sanjay Madria. 2017. RnR: Reverse & Replace Decoding for Collision Recovery in Wireless Sensor Networks. In SECON '17.
[22]
V.D. Jaap, R. Janne, A. Andreas, and M.Petri. 2011. UHF white space in Europe: a quantitative study into the potential of the 470-790 MHz band. In DySpan '11.
[23]
H. Kim and K. G. Shin. 2008. Fast Discovery of Spectrum Opportunities in Cognitive Radio Networks. In DySpan '08.
[24]
H. Kim and K. G. Shin. 2008. In-band Spectrum Sensing in Cognitive Radio Networks: Energy Detection or Feature Detection?. In MobiCom '08.
[25]
Sukun Kim, Shamim Pakzad, David Culler, James Demmel, Gregory Fenves, Steven Glaser, and Martin Turon. 2007. Health monitoring of civil infrastructures using wireless sensor networks. In IPSN '07.
[26]
K. Langendoen, A. Baggio, and O. Visser. 2006. Murphy loves potatoes: experiences from a pilot sensor network deployment in precision agriculture. In IPDPS '06.
[27]
Qinghua Li, Guangjie Li, Wookbong Lee, Moon-il Lee, David Mazzarese, Bruno Clerckx, and Zexian Li. 2010. MIMO techniques in WiMAX and LTE: A feature overview. IEEE Commun. Mag 48, 5 (2010), 86--92.
[28]
Link Labs 2017. (2017). http://www.link-labs.com/what-is-sigfox/.
[29]
Dongxin Liu, Zhihao Wu, Fan Wu, Yuan Zhang, and Guihai Chen. 2015. FIWEX: Compressive Sensing Based Cost-Efficient Indoor White Space Exploration. In MobiHoc '15.
[30]
LoRa iM880B-L {n. d.}. ({n. d.}). http://www.wireless-solutions.de/products/radiomodules/im880b-l.
[31]
LoRa Modem Design Guide 2013. (2013). http://www.semtech.com/images/datasheet/LoraDesignGuide_STD.pdf.
[32]
LoRaWAN {n. d.}. ({n. d.}). https://www.lora-alliance.org.
[33]
LTE Advanced 2017. LTE Advanced Pro. (2017). https://www.qualcomm.com/invention/technologies/lte/advanced-pro.
[34]
LTE Standard 2014. THE LTE STANDARD. (2014). https://www.qualcomm.com/media/documents/files/the-lte-standard.pdf.
[35]
Yuan Luo, Lin Gao, and Jianwei Huang. 2015. HySIM: A hybrid spectrum and information market for TV white space networks. In INFOCOM '15.
[36]
Guoqiang Mao, Bariş Fidan, and Brian D. O. Anderson. 2007. Wireless Sensor Network Localization Techniques. Computer networks 51, 10 (2007), 2529--2553.
[37]
Paul Marcelis, Vijay S Rao, and R Venkatesha Prasad. 2017. DaRe: Data Recovery through Application Layer Coding for LoRaWANs. Proc. ACM/IEEE Internet of Things-Design and Implementation (2017).
[38]
E. Meshkova, J. Ansari, D. Denkovski, J. Riihijarvi, J. Nasreddine, M. Pavloski, L. Gavrilovska, and P. Mahonen. 2011. Experimental spectrum sensor testbed for constructing indoor radio environmental maps. In DySpan '11.
[39]
A. F. Molisch. 2011. Wireless Communications (2nd Ed). John Wiley and Sons Ltd.
[40]
R. Murty, R. Chandra, T. Moscibroda, and P. Bahl. 2011. SenseLess: A database-driven white spaces network. In DySpan '11.
[41]
R.N. Murty, G. Mainland, I. Rose, A.R. Chowdhury, A. Gosain, J. Bers, and M. Welsh. 2008. CitySense: An Urban-Scale Wireless Sensor Network and Testbed. In HST '08.
[42]
NBIoT. 2017. (2017). http://www.3gpp.org/news-events/3gpp-news/1785-nb_iot_complete.
[43]
ngmn {n. d.}. ({n. d.}). http://www.ngmn.org.
[44]
E. Obregon and J. Zander. 2010. Short range white space utilization in broadcast systems for indoor environment. In DySpan '10.
[45]
FCC First Order. 2008. (2008). FCC, ET Docket No FCC 08-260, November 2008.
[46]
FCC Second Order. 2010. (2010). FCC, Second Memorandum Opinion and Order, ET Docket No FCC 10-174, September 2010.
[47]
PertoCloud 2017. (2017). http://petrocloud.com/solutions/oilfield-monitoring/.
[48]
Ramjee Prasad and Fernando J Velez. 2010. OFDMA WiMAX physical layer. In WiMAX networks. Springer, 63--135.
[49]
Ettus Research. 2017. (2017). http://www.ettus.com/product/details/UB210-KIT.
[50]
Sid Roberts, Paul Garnett, and Ranveer Chandra. {n. d.}. Connecting Africa Using TV White Spaces: From Research to Real World Deployments. In LANMAN '15.
[51]
Abusayeed Saifullah, Dolvara Gunatilaka, Paras Tiwari, Mo Sha, Chenyang Lu, Bo Li, Chengjie Wu, and Yixin Chen. 2015. Schedulability analysis under graph routing for WirelessHART networks. In RTSS '15.
[52]
Abusayeed Saifullah, Mahbubur Rahman, Dali Ismail, Chenyang Lu, Ranveer Chandra, and Jie Liu. 2016. SNOW: Sensor Network over White Spaces. In SenSys '16.
[53]
Abusayeed Saifullah, Sriram Sankar, Jie Liu, Chenyang Lu, Bodhi Priyantha, and Ranveer Chandra. 2014. CapNet: A real-Time Wireless Management Network for Data Center Power Capping. In RTSS '14.
[54]
Scalable Networks {n. d.}. ({n. d.}). http://web.scalable-networks.com/content/qualnet.
[55]
SemTech. {n. d.}. LoRa Calculator by Semtech. ({n. d.}). http://sx1272-lora-calculator.software.informer.com/.
[56]
Semtech SX1301 {n. d.}. ({n. d.}). http://www.semtech.com/wireless-rf/rf-transceivers/sx1301/.
[57]
SIGFOX {n. d.}. ({n. d.}). http://sigfox.com.
[58]
Spectrum Bridge 2017. (2017). http://spectrumbridge.com/tv-white-space/.
[59]
Chin-Sean Sum, Ming-Tuo Zhou, Liru Lu, R. Funada, F. Kojima, and H. Harada. 2012. IEEE 802.15.4m: The first low rate wireless personal area networks operating in TV white space. In ICON '12.
[60]
T. Taher, R. Bacchus, K. Zdunek, and D. Roberson. 2011. Long-term spectral occupancy findings in Chicago. In DySpan '11.
[61]
TinyOS. {n. d.}. ({n. d.}). http://www.tinyos.net.
[62]
Understanding FFTs and Windowing 2015. (2015). http://www.ni.com/white-paper/4844/en/.
[63]
Deepak Vasisht, Zerina Kapetanovic, Jongho Won, Xinxin Jin, Madhusudhan Sudarshan, and Sean Stratman. 2017. FarmBeats: An IoT Platform for Data-Driven Agriculture. In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17). USENIX Association, 515--529.
[64]
Thiemo Voigt, Martin Bor, Utz Roedig, and Juan Alonso. 2016. Mitigating Inter-network Interference in LoRa Networks. arXiv preprint arXiv:1611.00688 (2016).
[65]
WiMAX {n. d.}. WiMAX. ({n. d.}). https://en.wikipedia.org/wiki/WiMAX.
[66]
WirelessHART Specification {n. d.}. ({n. d.}). http://www.hartcomm2.org.
[67]
Bei Yin and Joseph R. Cavallaro. 2012. LTE uplink MIMO receiver with low complexity interference cancellation. Analog Integr Circ Sig Process 73 (2012), 5443--450.
[68]
Xuhang Ying, Jincheng Zhang, Lichao Yan, Guanglin Zhang, Minghua Chen, and Ranveer Chandra. 2013. Exploring Indoor White Spaces in Metropolises. In MobiCom '13.
[69]
Jincheng Zhang, Wenjie Zhang, Minghua Chen, and Zhi Wang. 2015. WINET: Indoor white space network design. In INFOCOM '15.
[70]
Tan Zhang, Ning Leng, and Suman Banerjee. 2014. A Vehicle-based Measurement Framework for Enhancing Whitespace Spectrum Databases. In MobiCom '14.
[71]
Jim Zyren. 2007. Overview of the 3GPP LTE Physical Layer. (2007). http://www.nxp.com/assets/documents/data/en/white-papers/3GPPEVOLUTIONWP.pdf.

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  • (2023)Boosting Reliability and Energy-Efficiency in Indoor LoRaProceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation10.1145/3576842.3582327(396-409)Online publication date: 9-May-2023
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  • (2022)Real-Time Communication over LoRa Networks2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design and Implementation (IoTDI)10.1109/IoTDI54339.2022.00019(14-27)Online publication date: May-2022
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      cover image ACM Conferences
      SenSys '17: Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems
      November 2017
      490 pages
      ISBN:9781450354592
      DOI:10.1145/3131672
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      Published: 06 November 2017

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      Author Tags

      1. LPWAN
      2. MAC Protocol
      3. OFDM
      4. Sensor Network
      5. White space

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      • (2023)Boosting Reliability and Energy-Efficiency in Indoor LoRaProceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation10.1145/3576842.3582327(396-409)Online publication date: 9-May-2023
      • (2023)Exploring IoT NetworksPractical Internet of Things Networking10.1007/978-3-031-28443-4_3(105-201)Online publication date: 23-Feb-2023
      • (2022)Real-Time Communication over LoRa Networks2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design and Implementation (IoTDI)10.1109/IoTDI54339.2022.00019(14-27)Online publication date: May-2022
      • (2022)Enabling Massive Scalability in Low-Power Wide-Area Networks2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00291(1948-1955)Online publication date: Dec-2022
      • (2021)Mobility in Low-Power Wide-Area Network over White SpacesProceedings of the 2021 International Conference on Embedded Wireless Systems and Networks10.5555/3451271.3451283(127-138)Online publication date: 20-Feb-2021
      • (2021)LPWAN in the TV White SpacesACM Transactions on Embedded Computing Systems10.1145/344787720:4(1-26)Online publication date: 13-May-2021
      • (2021)Low-Latency In-Band Integration of Multiple Low-Power Wide-Area Networks2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS)10.1109/RTAS52030.2021.00034(333-346)Online publication date: May-2021
      • (2021)LPWAN TechnologiesFundamentals of IoT Communication Technologies10.1007/978-3-030-70080-5_8(193-212)Online publication date: 8-Feb-2021
      • (2020)Long-Lived LoRa: Prolonging the Lifetime of a LoRa Network2020 IEEE 28th International Conference on Network Protocols (ICNP)10.1109/ICNP49622.2020.9259375(1-12)Online publication date: 13-Oct-2020
      • (2019)EasyPassProceedings of the 15th International Conference on Emerging Networking Experiments And Technologies10.1145/3359989.3365421(186-199)Online publication date: 3-Dec-2019
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