Living IoT: A Flying Wireless Platform on Live Insects

Sensor networks with devices capable of moving could enable applications ranging from precision irrigation to environmental sensing. Using mechanical drones to move sensors, however, severely limits operation time since flight time is limited by the energy density of current battery technology. We explore an alternative, biology-based solution: integrate sensing, computing and communication functionalities onto live flying insects to create a mobile IoT platform. Such an approach takes advantage of these tiny, highly efficient biological insects which are ubiquitous in many outdoor ecosystems, to essentially provide mobility for free. Doing so however requires addressing key technical challenges of power, size, weight and self-localization in order for the insects to perform location-dependent sensing operations as they carry our IoT payload through the environment. We develop and deploy our platform on bumblebees which includes backscatter communication, low-power self-localization hardware, sensors, and a power source. We show that our platform is capable of sensing, backscattering data at 1 kbps when the insects are back at the hive, and localizing itself up to distances of 80 m from the access points, all within a total weight budget of 102 mg.

[1]  V. Alchanatis,et al.  Review: Sensing technologies for precision specialty crop production , 2010 .

[2]  Joshua R. Smith,et al.  PASSIVE WI-FI: Bringing Low Power to Wi-Fi Transmissions , 2016, GETMBL.

[3]  Teja Tscharntke,et al.  Foraging trip duration of bumblebees in relation to landscape‐wide resource availability , 2006 .

[4]  W. Russell,et al.  Ethical and Scientific Considerations Regarding Animal Testing and Research , 2011, PloS one.

[5]  Johanne Brunet,et al.  Enhancing pollination by attracting and retaining leafcutting bees ( Megachile rotundata ) in alfalfa seed production fields , 2017 .

[6]  Khalil Najafi,et al.  Energy scavenging from insect flight , 2011 .

[7]  David Blaauw,et al.  Circuit and System Designs of Ultra-Low Power Sensor Nodes With Illustration in a Miniaturized GNSS Logger for Position Tracking: Part I—Analog Circuit Techniques , 2017, IEEE Transactions on Circuits and Systems I: Regular Papers.

[8]  Joshua R. Smith,et al.  FM Backscatter: Enabling Connected Cities and Smart Fabrics , 2017, NSDI.

[9]  Shyamnath Gollakota,et al.  3D Localization for Sub-Centimeter Sized Devices , 2018, SenSys.

[10]  Yunhao Liu,et al.  Locating sensors in the wild: pursuit of ranging quality , 2010, SenSys '10.

[11]  Hector D. Escobar-Alvarez,et al.  R‐ADVANCE: Rapid Adaptive Prediction for Vision‐based Autonomous Navigation, Control, and Evasion , 2018, J. Field Robotics.

[12]  Travis L. Massey,et al.  A wearable wireless platform for visually stimulating small flying insects , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  R. Dudley The Biomechanics of Insect Flight: Form, Function, Evolution , 1999 .

[14]  Roy E. Ritzmann,et al.  Wireless Communication by an Autonomous Self-Powered Cyborg Insect , 2013 .

[15]  R.L. Moses,et al.  Locating the nodes: cooperative localization in wireless sensor networks , 2005, IEEE Signal Processing Magazine.

[16]  Ronald S. Fearing,et al.  Wing transmission for a micromechanical flying insect , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

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

[18]  Melanie Hagen,et al.  Challenges and prospects in the telemetry of insects , 2014, Biological reviews of the Cambridge Philosophical Society.

[19]  Kevin Y. Ma,et al.  Controlled Flight of a Biologically Inspired, Insect-Scale Robot , 2013, Science.

[20]  R. Wood,et al.  Perching and takeoff of a robotic insect on overhangs using switchable electrostatic adhesion , 2016, Science.

[21]  E. Dorinda Loeffel,et al.  The Hungry Fly: A Physiological Study of the Behavior Associated With Feeding , 1977 .

[22]  Petar M. Djuric,et al.  BARNET: Towards Activity Recognition Using Passive Backscattering Tag-to-Tag Network , 2018, MobiSys.

[23]  J. Rogers,et al.  Silk-based resorbable electronic devices for remotely controlled therapy and in vivo infection abatement , 2014, Proceedings of the National Academy of Sciences.

[24]  Alejandro D. Dominguez-Garcia,et al.  HARVESTING ENERGY FROM MOTH VIBRATIONS DURING FLIGHT , 2009 .

[25]  Saudi Arabia,et al.  Effects of Precision Irrigation on Productivity and Water Use Efficiency of Alfalfa under Different Irrigation Methods in Arid Climates , 2011 .

[26]  Shyamnath Gollakota,et al.  Liftoff of a 190 mg Laser-Powered Aerial Vehicle: The Lightest Wireless Robot to Fly , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[27]  David Blaauw,et al.  7.4 A 915MHz asymmetric radio using Q-enhanced amplifier for a fully integrated 3×3×3mm3 wireless sensor node with 20m non-line-of-sight communication , 2017, 2017 IEEE International Solid-State Circuits Conference (ISSCC).

[28]  D. R. Reynolds,et al.  Tracking bees with harmonic radar , 1996, Nature.

[29]  Jie Xiong,et al.  Phaser: enabling phased array signal processing on commodity WiFi access points , 2014, MobiCom.

[30]  Robert J. Wood,et al.  The First Takeoff of a Biologically Inspired At-Scale Robotic Insect , 2008, IEEE Transactions on Robotics.

[31]  Mark Yim,et al.  Piccolissimo: The smallest micro aerial vehicle , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[32]  Babak A. Parviz,et al.  Drosophila as a Live Substrate for Solid‐State Microfabrication , 2007 .

[33]  David W. Inouye,et al.  Techniques for Pollination Biologists , 1993 .

[34]  Swarun Kumar,et al.  Decimeter-Level Localization with a Single WiFi Access Point , 2016, NSDI.

[35]  Joshua R. Smith,et al.  LoRa Backscatter: Enabling The Vision of Ubiquitous Connectivity , 2017 .

[36]  Daniele Milanesio,et al.  Design of an harmonic radar for the tracking of the Asian yellow‐legged hornet , 2016, Ecology and evolution.

[37]  P. Kirk Visscher,et al.  Lifetime learning by foraging honey bees , 1994, Animal Behaviour.

[38]  David Wetherall,et al.  Ambient backscatter: wireless communication out of thin air , 2013, SIGCOMM.

[39]  Christopher M Wolverton,et al.  Electrical energy storage for transportation—approaching the limits of, and going beyond, lithium-ion batteries , 2012 .

[40]  Martin Wikelski,et al.  Space Use of Bumblebees (Bombus spp.) Revealed by Radio-Tracking , 2011, PloS one.

[41]  Joshua R. Smith,et al.  Towards Battery-Free HD Video Streaming , 2018, NSDI.

[42]  M. Dickinson,et al.  Wing rotation and the aerodynamic basis of insect flight. , 1999, Science.

[43]  Rainer Klages,et al.  Constructing a Stochastic Model of Bumblebee Flights from Experimental Data , 2013, PloS one.

[44]  Xuan Zhang,et al.  A Low Mass Power Electronics Unit to Drive Piezoelectric Actuators for Flying Microrobots , 2018, IEEE Transactions on Power Electronics.

[45]  Michael W. Shafer,et al.  The case for energy harvesting on wildlife in flight , 2015 .

[46]  Longfei Shangguan,et al.  The Design and Implementation of a Mobile RFID Tag Sorting Robot , 2016, MobiSys.

[47]  Kevin Y. Ma,et al.  Controlling free flight of a robotic fly using an onboard vision sensor inspired by insect ocelli , 2014, Journal of The Royal Society Interface.

[48]  Don R. Reynolds,et al.  Harmonic radar: a new technique for investigating bumblebee and honey bee foraging flight , 1997 .

[49]  Murray K Clayton,et al.  Floral traits influencing plant attractiveness to three bee species: Consequences for plant reproductive success. , 2017, American journal of botany.

[50]  R. Gilmour,et al.  MEMS based bioelectronic neuromuscular interfaces for insect cyborg flight control , 2008, 2008 IEEE 21st International Conference on Micro Electro Mechanical Systems.

[51]  B. Parviz,et al.  Vacuum microfabrication on live fruit fly , 2007, 2007 IEEE 20th International Conference on Micro Electro Mechanical Systems (MEMS).

[52]  Ephrahim Garcia,et al.  Surgically Implanted Energy Harvesting Devices for Renewable Power Sources in Insect Cyborgs , 2008 .

[53]  Shyamnath Gollakota,et al.  Bringing Gesture Recognition to All Devices , 2014, NSDI.

[54]  Rodney A. Brooks,et al.  Fast, Cheap and Out of Control: a Robot Invasion of the Solar System , 1989 .

[55]  Vikyath D Rao,et al.  Automated monitoring reveals extreme interindividual variation and plasticity in honeybee foraging activity levels , 2014, Animal Behaviour.

[56]  Reid R. Harrison,et al.  A Battery-Free Multichannel Digital Neural/EMG Telemetry System for Flying Insects , 2012, IEEE Transactions on Biomedical Circuits and Systems.

[57]  Paul J. B. Hart,et al.  Fighting forms of expression , 2016 .

[58]  Huanyu Cheng,et al.  A Physically Transient Form of Silicon Electronics , 2012, Science.

[59]  Hirotaka Sato,et al.  Remote Radio Control of Insect Flight , 2009, Frontiers in integrative neuroscience.

[60]  Khalil Najafi,et al.  MECHANICAL ENERGY SCAVENGING FROM FLYING INSECTS , 2008 .

[61]  Sachin Katti,et al.  SpotFi: Decimeter Level Localization Using WiFi , 2015, SIGCOMM.

[62]  Ali Najafi,et al.  NetScatter: Enabling Large-Scale Backscatter Networks , 2018, NSDI.

[63]  B. Merker,et al.  Insects join the consciousness fray , 2016 .

[64]  David Blaauw,et al.  A Millimeter-Scale Energy-Autonomous Sensor System With Stacked Battery and Solar Cells , 2013, IEEE Journal of Solid-State Circuits.

[65]  Jue Wang,et al.  RF-IDraw: virtual touch screen in the air using RF signals , 2015, SIGCOMM 2015.

[66]  Qiang Wang,et al.  Energy efficient GPS sensing with cloud offloading , 2012, SenSys '12.