Poster: Online Learning for Reliable Packet-level Cross-Technology Communication

Cross-Technology Communication (CTC) is an emerging technology to enable direct communication between devices that follow different wireless standards. However, channel dynamics may affect the performance of the existing CTC approaches. This work proposes an online learning framework for existing CTCs. In the framework, the decoders could update its parameters and adapt to dynamics environments. the evaluation shows that the framework can effectively reduce the SER.

[1]  Yuan He,et al.  ZIGFI: Harnessing Channel State Information for Cross-Technology Communication , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.

[2]  Ting Zhu,et al.  B2W2: N-Way Concurrent Communication for IoT Devices , 2016, SenSys.

[3]  Yuan He,et al.  WiZig: Cross-technology energy communication over a noisy channel , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

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

[5]  David Wetherall,et al.  Tool release: gathering 802.11n traces with channel state information , 2011, CCRV.

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

[7]  Tian He,et al.  FreeBee: Cross-technology Communication via Free Side-channel , 2015, MobiCom.