4,573 research outputs found
MilliSonic: Pushing the Limits of Acoustic Motion Tracking
Recent years have seen interest in device tracking and localization using
acoustic signals. State-of-the-art acoustic motion tracking systems however do
not achieve millimeter accuracy and require large separation between
microphones and speakers, and as a result, do not meet the requirements for
many VR/AR applications. Further, tracking multiple concurrent acoustic
transmissions from VR devices today requires sacrificing accuracy or frame
rate. We present MilliSonic, a novel system that pushes the limits of acoustic
based motion tracking. Our core contribution is a novel localization algorithm
that can provably achieve sub-millimeter 1D tracking accuracy in the presence
of multipath, while using only a single beacon with a small 4-microphone
array.Further, MilliSonic enables concurrent tracking of up to four smartphones
without reducing frame rate or accuracy. Our evaluation shows that MilliSonic
achieves 0.7mm median 1D accuracy and a 2.6mm median 3D accuracy for
smartphones, which is 5x more accurate than state-of-the-art systems.
MilliSonic enables two previously infeasible interaction applications: a) 3D
tracking of VR headsets using the smartphone as a beacon and b) fine-grained 3D
tracking for the Google Cardboard VR system using a small microphone array
Surface MIMO: Using Conductive Surfaces For MIMO Between Small Devices
As connected devices continue to decrease in size, we explore the idea of
leveraging everyday surfaces such as tabletops and walls to augment the
wireless capabilities of devices. Specifically, we introduce Surface MIMO, a
technique that enables MIMO communication between small devices via surfaces
coated with conductive paint or covered with conductive cloth. These surfaces
act as an additional spatial path that enables MIMO capabilities without
increasing the physical size of the devices themselves. We provide an extensive
characterization of these surfaces that reveal their effect on the propagation
of EM waves. Our evaluation shows that we can enable additional spatial streams
using the conductive surface and achieve average throughput gains of 2.6-3x for
small devices. Finally, we also leverage the wideband characteristics of these
conductive surfaces to demonstrate the first Gbps surface communication system
that can directly transfer bits through the surface at up to 1.3 Gbps.Comment: MobiCom '1
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.Comment: Co-primary authors: Vikram Iyer, Rajalakshmi Nandakumar, Anran Wang,
In Proceedings of Mobicom. ACM, New York, NY, USA, 15 pages, 201
CRC-based Reliable WiFi Backscatter Communiation for Supply Chain Management
Supply chain management is aimed to keep going long-term performance of the
supply chain and minimize the costs. Backscatter technology provides a more
efficient way of being able to identify items and real-time monitoring. Among
the backscatter systems, the ambient backscatter communication (AmBC) system
provides a prospect of ultra-low energy consumption and does not require
controlled excitation devices. In this paper, we introduce CRCScatter, a CRC
reverse algorithm-based AmBC system using a single access point (AP). A CRC
reverse decoder is applied to reverse the ambient data from CRC32 sequence in
the backscatter packet and realize single-AP decoding. Based on the nature of
DBPSK modulation in WiFi signal, the CRCScatter system obtains the tag data by
XOR and Differential decoder. Our simulation results verify the effectiveness
of our proposed system in the low SNR regime. The average decoding time of
CRCScatter system is independent of the length of tag data. Furthermore, our
system can append redundant bits in the tag data to improve the decoding
accuracy while not increasing the decoding time
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