ATHOME: Automatic Tunable Wireless Charging for Smart Home

We present ATHOME, an Automatic Tunable wireless charging framework for smart low-power devices in current and future HOME. ATHOME automatically tunes the charging power of multiple stationary wireless chargers to provide enough energy that can continuously power up smart devices with varying working power profiles, while minimizing the total charging power to reduce energy cost. To reach this goal, ATHOME first solves a hard open problem of calculating the minimum required charging power for powering up a device with limited energy storage size and varying power profile. Based on the minimum charging power obtained for each device, ATHOME then provides an optimal solution with polynomial-time complexity that automatically tunes the charging power of all chargers in a real-time fashion, which enables all devices to work continuously while minimizing total charging power. We implement ATHOME on a WISP platform with 8 rechargeable nodes. Experiments demonstrate that ATHOME provides sufficient and tight charging power that enables devices to work continuously.

[1]  G. Thomas.  Calculus and Analytic Geometry , 1953 .

[2]  C. H. Edwards,et al.  Calculus and Analytic Geometry , 1982 .

[3]  Alexander Schrijver,et al.  Theory of linear and integer programming , 1986, Wiley-Interscience series in discrete mathematics and optimization.

[4]  Archana Bharathidasan,et al.  Sensor Networks : An Overview , 2002 .

[5]  Matt Welsh,et al.  Simulating the power consumption of large-scale sensor network applications , 2004, SenSys '04.

[6]  M. Soljačić,et al.  Wireless Power Transfer via Strongly Coupled Magnetic Resonances , 2007, Science.

[7]  D.J. Yeager,et al.  Wirelessly-Charged UHF Tags for Sensor Data Collection , 2008, 2008 IEEE International Conference on RFID.

[8]  J. Holleman,et al.  NeuralWISP: An energy-harvesting wireless neural interface with 1-m range , 2008, 2008 IEEE Biomedical Circuits and Systems Conference.

[9]  Alanson P. Sample,et al.  Design of an RFID-Based Battery-Free Programmable Sensing Platform , 2008, IEEE Transactions on Instrumentation and Measurement.

[10]  Shaojie Tang,et al.  Canopy closure estimates with GreenOrbs: sustainable sensing in the forest , 2009, SenSys '09.

[11]  Daji Qiao,et al.  Prolonging Sensor Network Lifetime Through Wireless Charging , 2010, 2010 31st IEEE Real-Time Systems Symposium.

[12]  Alanson P. Sample,et al.  Photovoltaic enhanced UHF RFID tag antennas for dual purpose energy harvesting , 2011, 2011 IEEE International Conference on RFID.

[13]  Daniele Trinchero,et al.  Concealable, low-cost paper-printed antennas for WISP-based RFIDs , 2011, 2011 IEEE International Conference on RFID.

[14]  Hanif D. Sherali,et al.  On renewable sensor networks with wireless energy transfer , 2011, 2011 Proceedings IEEE INFOCOM.

[15]  Kevin Fu,et al.  Ekho: bridging the gap between simulation and reality in tiny energy-harvesting sensors , 2011, HotPower '11.

[16]  Sun Youxian,et al.  Energy Provisioning in Wireless Rechargeable Sensor Networks , 2011 .

[17]  Hanif D. Sherali,et al.  On traveling path and related problems for a mobile station in a rechargeable sensor network , 2013, MobiHoc.

[18]  Jiming Chen,et al.  Energy Provisioning in Wireless Rechargeable Sensor Networks , 2013, IEEE Trans. Mob. Comput..

[19]  Jiming Chen,et al.  Minimizing charging delay in wireless rechargeable sensor networks , 2013, 2013 Proceedings IEEE INFOCOM.

[20]  Jianping Pan,et al.  ESync: an energy synchronized charging protocol for rechargeable wireless sensor networks , 2014, MobiHoc '14.

[21]  Jiming Chen,et al.  Dynamic Activation Policies for Event Capture in Rechargeable Sensor Network , 2014, IEEE Transactions on Parallel and Distributed Systems.

[22]  Jiming Chen,et al.  TOC: Localizing wireless rechargeable sensors with time of charge , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[23]  Jiming Chen,et al.  TOC: Localizing wireless rechargeable sensors with time of charge , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[24]  Joshua R. Smith,et al.  Sifting through the airwaves: Efficient and scalable multiband RF harvesting , 2014, 2014 IEEE International Conference on RFID (IEEE RFID).

[25]  Wi-fi backscatter , 2014, SIGCOMM.

[26]  Joshua R. Smith,et al.  Wi-fi backscatter , 2014, SIGCOMM 2015.

[27]  Alanson P. Sample,et al.  WISP: A Passively Powered UHF RFID Tag with Sensing and Computation , 2017 .