Exploiting Concurrent Wake-Up Transmissions Using Beat Frequencies

Wake-up receivers are the natural choice for wireless sensor networks because of their ultra-low power consumption and their ability to provide communications on demand. A downside of ultra-low power wake-up receivers is their low sensitivity caused by the passive demodulation of the carrier signal. In this article, we present a novel communication scheme by exploiting purposefully-interfering out-of-tune signals of two or more wireless sensor nodes, which produce the wake-up signal as the beat frequency of superposed carriers. Additionally, we introduce a communication algorithm and a flooding protocol based on this approach. Our experiments show that our approach increases the received signal strength up to 3 dB, improving communication robustness and reliability. Furthermore, we demonstrate the feasibility of our newly-developed protocols by means of an outdoor experiment and an indoor setup consisting of several nodes. The flooding algorithm achieves almost a 100% wake-up rate in less than 20 ms.

[1]  Lothar Thiele,et al.  Zippy: On-Demand Network Flooding , 2015, SenSys.

[2]  Leonhard M. Reindl,et al.  Low-power sensor node with addressable wake-up on-demand capability , 2012, Int. J. Sens. Networks.

[3]  Leonhard M. Reindl,et al.  Smartphone remote control for home automation applications based on acoustic wake-up receivers , 2014, 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

[4]  Ilker Demirkol,et al.  Has Time Come to Switch From Duty-Cycled MAC Protocols to Wake-Up Radio for Wireless Sensor Networks? , 2016, IEEE/ACM Transactions on Networking.

[5]  Yunhao Liu,et al.  Exploiting Constructive Interference for Scalable Flooding in Wireless Networks , 2013, IEEE/ACM Transactions on Networking.

[6]  Gerd Ulrich Gamm,et al.  Acoustic Wake-Up Receivers for Home Automation Control Applications , 2016 .

[7]  Christian Schindelhauer,et al.  Wireless wake-up sensor network for structural health monitoring of large-scale highway bridges , 2015 .

[8]  Bhaskar Krishnamachari,et al.  Experimental study of concurrent transmission in wireless sensor networks , 2006, SenSys '06.

[9]  Christian Schindelhauer,et al.  T-ROME: A simple and energy efficient tree routing protocol for low-power wake-up receivers , 2017, Ad Hoc Networks.

[10]  Holger Karl,et al.  A Survey of Low-Power Transceivers and Their Applications , 2015, IEEE Circuits and Systems Magazine.

[11]  Lothar Thiele,et al.  Efficient network flooding and time synchronization with Glossy , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[12]  Michele Magno,et al.  Beyond duty cycling: Wake-up radio with selective awakenings for long-lived wireless sensing systems , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[13]  G. U. Gamm,et al.  Smart metering using distributed wake-up receivers , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[14]  Guihai Chen,et al.  CIRF: Constructive interference-based reliable flooding in asynchronous duty-cycle wireless sensor networks , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[15]  Leonhard Reindl,et al.  Energy improved wake-up strategy for wireless sensor networks , 2014 .

[16]  Olivier Berder,et al.  OPWUM: Opportunistic MAC Protocol Leveraging Wake-Up Receivers in WSNs , 2016, J. Sensors.

[17]  Mun Choon Chan,et al.  Splash : Fast Data Dissemination with Constructive Interference in Wireless Sensor Networks , 2013 .

[18]  Edgar H. Callaway,et al.  Home networking with IEEE 802.15.4: a developing standard for low-rate wireless personal area networks , 2002, IEEE Commun. Mag..

[19]  Christian Schindelhauer,et al.  Improving the performance of the cross-layer wake-up routing protocol T-ROME , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[20]  Stefano Basagni,et al.  CTP-WUR: The collection tree protocol in wake-up radio WSNs for critical applications , 2016, 2016 International Conference on Computing, Networking and Communications (ICNC).

[21]  Yunhao Liu,et al.  Disco: Improving Packet Delivery via Deliberate Synchronized Constructive Interference , 2015, IEEE Transactions on Parallel and Distributed Systems.

[22]  T. Kumberg,et al.  Wake-up transceivers for structural health monitoring of bridges , 2016, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[23]  Andreas Terzis,et al.  Wireless ACK Collisions Not Considered Harmful , 2008, HotNets.

[24]  Jirka Klaue,et al.  RedFixHop with channel hopping: Reliable ultra-low-latency network flooding , 2016, 2016 Conference on Design of Circuits and Integrated Systems (DCIS).

[25]  Matthias Hollick,et al.  Let's talk together: Understanding concurrent transmission in wireless sensor networks , 2013, 38th Annual IEEE Conference on Local Computer Networks.

[26]  Michele Magno,et al.  An ultra low power high sensitivity wake-up radio receiver with addressing capability , 2014, 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[27]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[28]  Ignas G. Niemegeers,et al.  Murphy loves CI: Unfolding and improving constructive interference in WSNs , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[29]  F. Jiang,et al.  Exploiting the capture effect for collision detection and recovery , 2005, The Second IEEE Workshop on Embedded Networked Sensors, 2005. EmNetS-II..