EasyPass: combating IoT delay with multiple access wireless side channels

Many IoT applications have stringent requirements on wireless transmission delay, but have to compete for channel access with other wireless traffic. Traditional techniques enable multiple access to wireless channels, but yield severe delay when the channel is congested. In this paper, we present EasyPass, a wireless PHY technique that allows multiple IoT devices to simultaneously transmit data over a congested wireless link without being delayed. The key idea of EasyPass is to exploit the excessive SNR margin in a wireless channel as a dedicated side channel for IoT traffic, and allow multiple access to the side channel by separating signals from different transmitters on the air. We implemented EasyPass on software-defined radio platforms. Experiment results demonstrate that EasyPass reduces the data transmission delay in congested IoT networks by 90%, but provides a throughput up to 2.5 Mbps over a narrowband 20MHz wireless link that can be accessed by more than 100 IoT devices.

[1]  Ashutosh Sabharwal,et al.  Pushing the limits of Full-duplex: Design and Real-time Implementation , 2011, ArXiv.

[2]  Khaled Ben Letaief,et al.  Multiuser OFDM with adaptive subcarrier, bit, and power allocation , 1999, IEEE J. Sel. Areas Commun..

[3]  Frank Schaich,et al.  5G air interface design based on Universal Filtered (UF-)OFDM , 2014, 2014 19th International Conference on Digital Signal Processing.

[4]  Michel Robert,et al.  Overview of narrowband IoT in LTE Rel-13 , 2016, 2016 IEEE Conference on Standards for Communications and Networking (CSCN).

[5]  F. Barnaby Drone warfare: killing by remote control , 2014 .

[6]  Anders Furuskar,et al.  Uplink Power Control in LTE - Overview and Performance, Subtitle: Principles and Benefits of Utilizing rather than Compensating for SINR Variations , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[7]  Thierry Turletti,et al.  IEEE 802.11 rate adaptation: a practical approach , 2004, MSWiM '04.

[8]  Theodore S. Rappaport,et al.  Spatial and temporal characteristics of 60-GHz indoor channels , 2002, IEEE J. Sel. Areas Commun..

[9]  Eylem Ekici,et al.  Single Hop IEEE 802.11 DCF Analysis Revisited: Accurate Modeling of Channel Access Delay and Throughput for Saturated and Unsaturated Traffic Cases , 2011, IEEE Transactions on Wireless Communications.

[10]  Luigi Fratta,et al.  Performance evaluation and enhancement of the CSMA/CA MAC protocol for 802.11 wireless LANs , 1996, Proceedings of PIMRC '96 - 7th International Symposium on Personal, Indoor, and Mobile Communications.

[11]  Philip Levis,et al.  Achieving single channel, full duplex wireless communication , 2010, MobiCom.

[12]  Ranveer Chandra,et al.  Enabling Reliable, Asynchronous, and Bidirectional Communication in Sensor Networks over White Spaces , 2017, SenSys.

[13]  Sunghyun Choi,et al.  Interference Analysis and Transmit Power Control in IEEE 802.11a/h Wireless LANs , 2007, IEEE/ACM Transactions on Networking.

[14]  Jie Zhang,et al.  OFDMA femtocells: A roadmap on interference avoidance , 2009, IEEE Communications Magazine.

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

[16]  Dina Katabi,et al.  Frequency-aware rate adaptation and MAC protocols , 2009, MobiCom '09.

[17]  Vaduvur Bharghavan,et al.  Robust rate adaptation for 802.11 wireless networks , 2006, MobiCom '06.

[18]  Qian Zhang,et al.  HJam: Attachment transmission in WLANs , 2012, 2012 Proceedings IEEE INFOCOM.

[19]  Marimuthu Palaniswami,et al.  An Information Framework for Creating a Smart City Through Internet of Things , 2014, IEEE Internet of Things Journal.

[20]  Akashi Satoh,et al.  High-Resolution Side-Channel Attack Using Phase-Based Waveform Matching , 2006, CHES.

[21]  Dina Katabi,et al.  Physical layer wireless security made fast and channel independent , 2011, 2011 Proceedings IEEE INFOCOM.

[22]  Juergen Jasperneite,et al.  The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0 , 2017, IEEE Industrial Electronics Magazine.

[23]  Wei Gao,et al.  Scheduling dynamic wireless networks with limited operations , 2016, 2016 IEEE 24th International Conference on Network Protocols (ICNP).

[24]  Wei Gao,et al.  Supporting real-time wireless traffic through a high-throughput side channel , 2016, MobiHoc.

[25]  Ashutosh Sabharwal,et al.  WARPnet: clean slate research on deployed wireless networks , 2009, MobiHoc '09.

[26]  Wei Gao,et al.  Interconnecting heterogeneous devices in the personal mobile cloud , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

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

[28]  Lei Zhao,et al.  Block-type pilot channel estimation for OFDM systems under frequency selective fading channels , 2009 .

[29]  Hai Su,et al.  Fast and scalable secret key generation exploiting channel phase randomness in wireless networks , 2011, 2011 Proceedings IEEE INFOCOM.

[30]  Kang G. Shin,et al.  MiSer: an optimal low-energy transmission strategy for IEEE 802.11a/h , 2003, MobiCom '03.

[31]  Ramiro Liscano,et al.  Challenges in the Implementation and Simulation for Wireless Side-Channel based on Intentionally Corrupted FCS , 2011, ANT/MobiWIS.

[32]  Ness B. Shroff,et al.  Distributed Greedy Approximation to Maximum Weighted Independent Set for Scheduling With Fading Channels , 2013, IEEE/ACM Transactions on Networking.

[33]  Peter F. M. Smulders,et al.  Statistical Characterization of 60-GHz Indoor Radio Channels , 2009, IEEE Transactions on Antennas and Propagation.

[34]  Qian Zhang,et al.  Side Channel: Bits over Interference , 2010, IEEE Transactions on Mobile Computing.

[35]  Federico Viani,et al.  Wireless Architectures for Heterogeneous Sensing in Smart Home Applications: Concepts and Real Implementation , 2013, Proceedings of the IEEE.

[36]  Zhijun Li,et al.  WEBee: Physical-Layer Cross-Technology Communication via Emulation , 2017, MobiCom.

[37]  Ranveer Chandra,et al.  SNOW: Sensor Network over White Spaces , 2016, SenSys.

[38]  Jeffrey G. Andrews,et al.  Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints , 2005, IEEE Transactions on Wireless Communications.

[39]  Andrew R Nix,et al.  A comparison of the HIPERLAN/2 and IEEE 802.11a wireless LAN standards , 2002, IEEE Commun. Mag..

[40]  Sneha Kumar Kasera,et al.  Secret Key Extraction from Wireless Signal Strength in Real Environments , 2009, IEEE Transactions on Mobile Computing.

[41]  Asaf Cidon,et al.  Flashback: decoupled lightweight wireless control , 2012, CCRV.

[42]  Sneha A. Dalvi,et al.  Internet of Things for Smart Cities , 2017 .

[43]  Falko Dressler,et al.  An IEEE 802.11a/g/p OFDM receiver for GNU radio , 2013, SRIF '13.

[44]  Javier Gozálvez,et al.  An IEEE 802.11 MAC Software Defined Radio implementation for experimental wireless communications and networking research , 2010, 2010 IFIP Wireless Days.

[45]  Klaus I. Pedersen,et al.  Cell-Specific Uplink Power Control for Heterogeneous Networks in LTE , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[46]  Chin-Tser Huang,et al.  Smart City Surveillance in Fog Computing , 2017 .

[47]  Qiang Fu,et al.  On the performance of rate control algorithm Minstrel , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[48]  Sachin Katti,et al.  Full duplex radios , 2013, SIGCOMM.

[49]  Shaoen Wu,et al.  Rate adaptation algorithms for IEEE 802.11 networks: A survey and comparison , 2008, 2008 IEEE Symposium on Computers and Communications.

[50]  Parameswaran Ramanathan,et al.  60 GHz Indoor Networking through Flexible Beams: A Link-Level Profiling , 2015, SIGMETRICS 2015.

[51]  Wei Gao,et al.  Continuous Wireless Link Rates for Internet of Things , 2018, 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

[52]  Boris Bellalta,et al.  IEEE 802.11ax: High-efficiency WLANS , 2015, IEEE Wireless Communications.

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

[54]  Himanshu Sharma,et al.  Channel Estimation in OFDM Systems , 2013 .

[55]  Ashutosh Sabharwal,et al.  Full-duplex wireless communications using off-the-shelf radios: Feasibility and first results , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

[56]  In Lee,et al.  The Internet of Things (IoT): Applications, investments, and challenges for enterprises , 2015 .

[57]  Philip Levis,et al.  Practical, real-time, full duplex wireless , 2011, MobiCom.

[58]  Wei Gao,et al.  Enabling Cross-Technology Coexistence for Extremely Weak Wireless Devices , 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications.

[59]  Dina Katabi,et al.  Zigzag decoding: combating hidden terminals in wireless networks , 2008, SIGCOMM '08.

[60]  Didem Kivanc-Tureli,et al.  Computationally efficient bandwidth allocation and power control for OFDMA , 2003, IEEE Trans. Wirel. Commun..