skip to main content
10.1145/3302506acmconferencesBook PagePublication PagescpsweekConference Proceedingsconference-collections
IPSN '19: Proceedings of the 18th International Conference on Information Processing in Sensor Networks
ACM2019 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
IPSN '19: The 18th International Conference on Information Processing in Sensor Networks Montreal Quebec Canada April 16 - 18, 2019
ISBN:
978-1-4503-6284-9
Published:
16 April 2019
Sponsors:
In-Cooperation:
IEEE-SPS

Bibliometrics
Skip Abstract Section
Abstract

It is our great pleasure to welcome you to the 18th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2019). This year, we are enjoying the great city of Montréal, Canada. IPSN continues to be one of the premier events that brings together researchers and professionals from academia, industry, and government to address an array of current developments, discover new and cutting-edge challenges, and expand the concepts of sensor networks beyond traditional domains. This year is the 12th year that IPSN has been part of CPS (now CPS-IoT) Week. Following the tradition in odd years, we are joined by our four sister conferences - HSCC, ICCPS, IoTDI, and RTAS - and an array of workshops, tutorials and competitions, where participants can explore various aspects of research and development in Cyber-Physical Systems and Internet of Things, including Embedded Systems, Hybrid Systems, Real-Time Systems, and Sensor Networks.

research-article
Recovering bits from thin air: demodulation of bandpass sampled noisy signals for space IoT

Two nanosatellites recently launched into space had issues with respect to its stabilization, power and orientation. The signals were intermittent, and amateur radio enthusiasts around the globe were requested to observe the satellites so as to get ...

research-article
Public Access
DeltaVR: achieving high-performance mobile VR dynamics through pixel reuse

Virtual Reality (VR) improves the user's experience when interacting with the virtual world, and could revolutionarily transform the designs of many interactive systems. However, providing VR from untethered mobile devices is difficult due to their ...

research-article
3D-OmniTrack: 3D tracking with COTS RFID systems

RFID tracking has attracted significant interest from both academia and industry due to its low cost and ease of deployment. Previous works focus more on tracking in 2D space or separately consider tracking of the location and the orientation. They ...

research-article
Collaborative wideband signal decoding using non-coherent receivers

In recent years we are experiencing an important growth of interest for sensing the electromagnetic spectrum and making its access more agile. Emerging initiatives use low-cost receivers in large deployments for sensing the radio spectrum or collecting ...

research-article
WIDE: physical-level CTC via digital emulation

Cross-Technology Communication (CTC) is an emerging technique that enables direct communication across different wireless technologies. Recent works achieve physical-level CTC by emulating the standard time-domain waveform of the receiver. This method ...

research-article
SnapLoc: an ultra-fast UWB-based indoor localization system for an unlimited number of tags

A large body of work has shown that ultra-wideband (UWB) technology enables accurate indoor localization and tracking thanks to its high time-domain resolution. Existing systems, however, are typically designed to localize only a limited number of tags, ...

research-article
Event-triggered natural hazard monitoring with convolutional neural networks on the edge

In natural hazard warning systems fast decision making is vital to avoid catastrophes. Decision making at the edge of a wireless sensor network promises fast response times but is limited by the availability of energy, data transfer speed, processing ...

research-article
Public Access
Transferring activity recognition models for new wearable sensors with deep generative domain adaptation

Wearable sensors provide enormous opportunities to identify activities and events of interest for various applications. However, a major limitation of the current systems is the fact that machine learning algorithms trained on particular sensors need to ...

research-article
SGSF: a small groups based serial fusion method

With the rapid development of Artificial Intelligence (AI) in the Internet of things (IoT), information fusion becomes one of the key technology. Serial fusion plays an important role in information fusion, which concatenates the features obtained from ...

research-article
Getting more out of energy-harvesting systems: energy management under time-varying utility with PreAct

Careful energy management is a prerequisite for long-term, unattended operation of solar-harvesting sensing systems. We observe that in many applications the utility of sensed data varies over time, but current energy-management algorithms do not ...

research-article
ALICE: autonomous link-based cell scheduling for TSCH

Although low-power lossy network (LLN), at its early stage, commonly used asynchronous link layer protocols for simple operation on resource-constrained nodes, development of embedded hardware and time synchronization technologies made Time-Slotted ...

research-article
Chorus: UWB concurrent transmissions for GPS-like passive localization of countless targets

We propose Chorus, a new ultra-wideband (UWB) localization scheme in which the target device computes the time difference of arrival (TDOA) of signals sent concurrently by localization anchors in known positions. This scheme, similar to GPS, is the ...

research-article
Automated estimation of link quality for LoRa: a remote sensing approach

Many research and industrial communities are betting on LoRa to provide reliable, long-range communication for the Internet of Things. This new radio technology, however, provides widely heterogeneous coverage; a LoRa link may span hundreds of meters or ...

research-article
Public Access
SmartDashCam: automatic live calibration for DashCams

Dashboard camera installations are becoming increasingly common due to various Advanced Driver Assistance Systems (ADAS) based services provided by them. Though deployed primarily for crash recordings, calibrating these cameras can allow them to measure ...

research-article
Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems

Mobile and embedded devices are increasingly using microphones and audio-based computational models to infer user context. A major challenge in building systems that combine audio models with commodity microphones is to guarantee their accuracy and ...

research-article
Open Access
Tracking from one side: multi-person passive tracking with WiFi magnitude measurements

In this paper, we are interested in passively tracking multiple people walking in an area, using only the magnitude of WiFi signals from one WiFi transmitter and a small number of receivers (configured as an array) located on one side of the area. Past ...

research-article
Open Access
Capacity over capacitance for reliable energy harvesting sensors

Today, most sensors that harvest energy from indoor solar, ambient RF, or thermal gradients buffer small amounts of energy in capacitors as they intermittently work through a sensing task. While the utilization of capacitors for energy storage affords ...

research-article
Cross-sender bit-mixing coding

Scheduling to avoid packet collisions is a long-standing challenge in networking, and has become even trickier in wireless networks with multiple senders and multiple receivers. In fact, researchers have proved that even perfect scheduling can only ...

research-article
Public Access
SoundSemantics: exploiting semantic knowledge in text for embedded acoustic event classification

In this paper, we propose a fundamentally different approach to acoustic event classification that exploits knowledge from the textual domain to deal with a well-known pain point in audio event classification---i.e., the lack of adequate training ...

research-article
Wireless computer vision using commodity radios

We introduce the design and implementation of BackCam, a low-power wireless camera sensor platform that supports continuous realtime vision applications, all using commodity radios. In the lowest power mode, our camera board consumes only 9.7mW and ...

research-article
TennisEye: tennis ball speed estimation using a racket-mounted motion sensor

Aggressive tennis shots with high ball speed are the key factor in winning a tennis match. Today's tennis players are increasingly focused on improving ball speed. As a result, in recent tennis tournaments, records of tennis shot speeds are broken again ...

research-article
Quantle: fair and honest presentation coach in your pocket

Great public speakers are made, not born. Practicing a presentation in front of colleagues is common practice and results in a set of subjective judgements what could be improved. In this paper we describe the design and implementation of a mobile app ...

research-article
H2B: heartbeat-based secret key generation using piezo vibration sensors

We present Heartbeats-2-Bits (H2B), which is a system for securely pairing wearable devices by generating a shared secret key from the skin vibrations caused by heartbeat. This work is motivated by potential power saving opportunity arising from the ...

research-article
Open Access
Can a phone hear the shape of a room?

Understanding the location of acoustically reflective surfaces in a room is a critical component in advanced sound processing. For example, intelligent speakers can use a room's acoustic geometry to improve playback quality, source separation accuracy, ...

research-article
Open Access
LongShoT: long-range synchronization of time

Low-Power Wide Area Networks, such as LoRaWAN, are rapidly gaining popularity in the field of wireless sensing and actuation. While LoRaWAN is heavily studied in applications and performance, the concept of time has rarely been characterized in such ...

poster
Privacy-preserving control message dissemination for PVCPS: poster abstract

Privacy preservation is critical for control information dissemination in Platoon-based Vehicular Cyber-Physical Systems (PVCPS). However, the vehicular communication is vulnerable to wireless eavesdropping attack and message modification, due to ...

poster
Synchronous automatic training for wearable sensors via knowledge distillation: poster abstract

Since wearable sensors often have high substitutability, it is imperative that newly added wearable sensors have automatic training capabilities. In this paper, we propose a novel automatic model training method called Synchronous Automatic Training (...

poster
A maximal correlation embedding method for multilabel human context recognition: poster abstract

Real-time human context recognition is one of the most exciting emerging technologies in sensing nowadays. Compared with most recognition problems in machine learning, the challenge lies in the complexity and incompleteness of labels, in other words, ...

poster
Array resource allocation based on KKT optimization for radar and communication integration: poster abstract

This paper presents a novel array allocation method for radar and communication integration. Firstly, the math model between the array resource and tracking and communication performance is built and analyzed. The primary objectives of radar and ...

poster
SoftLoRa - a LoRa-based platform for accurate and secure timing: poster abstract

LoRa is an emerging low-power wide-area network technology. Existing studies have focused on LoRa's communication performance. Differently, we study two physical properties of LoRa, i.e., its performance in timing the signal propagation and the ...

Contributors
  • University of Manitoba
  • Uppsala University
  • Microsoft Research

Index Terms

  1. Proceedings of the 18th International Conference on Information Processing in Sensor Networks

        Recommendations

        Acceptance Rates

        IPSN '19 Paper Acceptance Rate25of91submissions,27%Overall Acceptance Rate143of593submissions,24%
        YearSubmittedAcceptedRate
        IPSN '19912527%
        IPSN '141112321%
        IPSN '131152421%
        IPSN '052767126%
        Overall59314324%