FreeBee: Cross-technology Communication via Free Side-channel

This paper presents FreeBee, which enables direct unicast as well as cross-technology/channel broadcast among three popular wireless technologies: WiFi, ZigBee, and Bluetooth. Our design aims to shed the light on the opportunities that cross-technology communication has to offer including, but not limited to, cross-technology cooperation and coordination. The key concept of FreeBee is to modulate symbol messages by shifting the timing of periodic beacon frames already mandatory for wireless standards without incurring extra traffic. Such a generic cross-technology design consumes zero additional bandwidth, allowing continuous broadcast to safely reach mobile and/or duty-cycled devices. A new \emph{interval multiplexing} technique is proposed to enable concurrent broadcasts from multiple senders or boost the transmission rate of a single sender. Theoretical and experimental exploration reveals that FreeBee offers a reliable symbol delivery under a second and supports mobility of 30mph and low duty-cycle operations of under 5%.

[1]  Umberto Mengali,et al.  M-PPM noncoherent receivers for UWB applications , 2006, IEEE Transactions on Wireless Communications.

[2]  Umberto Mengali,et al.  Energy-Detection UWB Receivers with Multiple Energy Measurements , 2007, IEEE Transactions on Wireless Communications.

[3]  David Simons,et al.  Continua: An Interoperable Personal Healthcare Ecosystem , 2007, IEEE Pervasive Computing.

[4]  K. Soundararajan THE DISTRIBUTION OF PRIME NUMBERS , 2006, math/0606408.

[5]  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).

[6]  Xin Zhang,et al.  ZigBee vs WiFi: Understanding issues and measuring performances of their coexistence , 2014, 2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC).

[7]  Tan Zhang,et al.  A dual technology femto cell architecture for robust communication using whitespaces , 2012, 2012 IEEE International Symposium on Dynamic Spectrum Access Networks.

[8]  Haige Xiang,et al.  Weighted noncoherent receivers for UWB PPM signals , 2006, IEEE Communications Letters.

[9]  Kang G. Shin,et al.  Gap Sense: Lightweight coordination of heterogeneous wireless devices , 2013, 2013 Proceedings IEEE INFOCOM.

[10]  Arun Venkataramani,et al.  Energy consumption in mobile phones: a measurement study and implications for network applications , 2009, IMC '09.

[11]  Joseph M. Kahn,et al.  Differential pulse-position modulation for power-efficient optical communication , 1999, IEEE Trans. Commun..

[12]  Yunhao Liu,et al.  L2: Lazy forwarding in low duty cycle wireless sensor networks , 2012, 2012 Proceedings IEEE INFOCOM.

[13]  Tristan Henderson,et al.  CRAWDAD: a community resource for archiving wireless data at Dartmouth , 2005, CCRV.

[14]  Zabih Ghassemlooy,et al.  Digital pulse interval modulation for optical communications , 1998 .

[15]  Andreas Terzis,et al.  Surviving wi-fi interference in low power ZigBee networks , 2010, SenSys '10.

[16]  Harish Viswanathan,et al.  A practical traffic management system for integrated LTE-WiFi networks , 2014, MobiCom.

[17]  AbdelzaherTarek,et al.  On the feasibility of high-power radios in sensor networks , 2008 .

[18]  Yunhao Liu,et al.  Towards energy-fairness in asynchronous duty-cycling sensor networks , 2012, 2012 Proceedings IEEE INFOCOM.

[19]  Philip Levis,et al.  An empirical study of low-power wireless , 2010, TOSN.

[20]  Tristan Henderson,et al.  CRAWDAD: A Community Resource for Archiving Wireless Data at Dartmouth , 2005, IEEE Pervasive Comput..

[21]  Qun Li,et al.  HoWiES: A holistic approach to ZigBee assisted WiFi energy savings in mobile devices , 2013, 2013 Proceedings IEEE INFOCOM.

[22]  Kameswari Chebrolu,et al.  Esense: communication through energy sensing , 2009, MobiCom '09.

[23]  Ranveer Chandra,et al.  Weeble: enabling low-power nodes to coexist with high-power nodes in white space networks , 2012, CoNEXT '12.

[24]  Yunhao Liu,et al.  Lazy Forwarding in Low-Duty-Cycle Wireless Sensor Network , 2014 .

[25]  D. Staelin Fast folding algorithm for detection of periodic pulse trains , 1969 .

[26]  Huaping Liu,et al.  Ultra-wideband for multiple access communications , 2005, IEEE Communications Magazine.

[27]  Guoliang Xing,et al.  ZiFi: wireless LAN discovery via ZigBee interference signatures , 2010, MobiCom.

[28]  Ning Ding,et al.  Characterizing and modeling the impact of wireless signal strength on smartphone battery drain , 2013, SIGMETRICS '13.

[29]  Guoliang Xing,et al.  WizSync: Exploiting Wi-Fi Infrastructure for Clock Synchronization in Wireless Sensor Networks , 2011, 2011 IEEE 32nd Real-Time Systems Symposium.

[30]  Yanmin Zhu,et al.  WiBee: Building WiFi radio map with ZigBee sensor networks , 2012, 2012 Proceedings IEEE INFOCOM.

[31]  Tao Jin,et al.  WiZi-Cloud: Application-transparent dual ZigBee-WiFi radios for low power internet access , 2011, 2011 Proceedings IEEE INFOCOM.

[32]  Yunhao Liu,et al.  $L^{2}$: Lazy Forwarding in Low-Duty-Cycle Wireless Sensor Network , 2015, IEEE/ACM Transactions on Networking.

[33]  Robin Kravets,et al.  On the feasibility of high-power radios in sensor networks , 2008, MOCO.

[34]  Srinivasan Seshan,et al.  Clearing the RF smog: making 802.11n robust to cross-technology interference , 2011, SIGCOMM.

[35]  Kang G. Shin,et al.  Cooperative Carrier Signaling: Harmonizing Coexisting WPAN and WLAN Devices , 2013, IEEE/ACM Transactions on Networking.

[36]  C.-C. Jay Kuo,et al.  Coexistence Wi-Fi MAC Design for Mitigating Interference Caused by Collocated Bluetooth , 2015, IEEE Transactions on Computers.

[37]  Kang G. Shin,et al.  Enabling coexistence of heterogeneous wireless systems: case for ZigBee and WiFi , 2011, MobiHoc '11.