{"title":"Demo Abstract: EMeasure: Using a Smart Device with Consumer-Grade Accelerometer as an Accurate Measuring Scale","authors":"Vivek Chandel, Avik Ghose","doi":"10.1109/ipsn.2018.00020","DOIUrl":"https://doi.org/10.1109/ipsn.2018.00020","url":null,"abstract":"Calculating accurate distance from an accelerometer during motion involves integrating its raw data and it has been well-established that when the motion is imparted by humans, consumer-grade MEMS accelerometers are rendered unsuitable for this task due to their high error-profiles even for short-interval applications. This work presents 'EMeasure', a step towards addressing this problem with a completely sensor-agnostic and elegantly accurate error-mitigating model using temporal parameters for modeling the cumulated error in acceleration and velocity, yielding accurate distance. Inherent gravity is removed using a novel latency-free method using a gyroscope. The method has been tested on stand-alone MEMS sensor boards and multiple smart devices, in both phone and wrist-watch form factor with varied IMU sensor sets. Lengths up to 5 m have been measured with a mean measurement error of less than 3 cm. As a demo, we introduce EMeasure as an immensely useful and highly accurate length-measuring utility both on smartphones and smartwatches.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129857948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Slocalization: Sub-uW Ultra Wideband Backscatter Localization","authors":"P. Pannuto, B. Kempke, P. Dutta","doi":"10.1109/IPSN.2018.00052","DOIUrl":"https://doi.org/10.1109/IPSN.2018.00052","url":null,"abstract":"Ultra wideband technology has shown great promise for providing high-quality location estimation, even in complex indoor multipath environments, but existing ultra wideband systems require tens to hundreds of milliwatts during operation. Backscatter communication has demonstrated the viability of astonishingly low-power tags, but has thus far been restricted to narrowband systems with low localization resolution. The challenge to combining these complimentary technologies is that they share a compounding limitation, constrained transmit power. Regulations limit ultra wideband transmissions to just -41.3 dBm/MHz, and a backscatter device can only reflect the power it receives. The solution is long-term integration of this limited power, lifting the initially imperceptible signal out of the noise. This integration only works while the target is stationary. However, stationary describes the vast majority of objects, especially lost ones. With this insight, we design Slocalization, a sub-microwatt, decimeter-accurate localization system that opens a new tradeoff space in localization systems and realizes an energy, size, and cost point that invites the localization of every thing. To evaluate this concept, we implement an energy-harvesting Slocalization tag and find that Slocalization can recover ultra wideband backscatter in under fifteen minutes across thirty meters of space and localize tags with a mean 3D Euclidean error of only 30 cm.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123255824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roberto Calvo-Palomino, F. Ricciato, Blaz Repas, D. Giustiniano, Vincent Lenders
{"title":"Nanosecond-Precision Time-of-Arrival Estimation for Aircraft Signals with Low-Cost SDR Receivers","authors":"Roberto Calvo-Palomino, F. Ricciato, Blaz Repas, D. Giustiniano, Vincent Lenders","doi":"10.1109/IPSN.2018.00055","DOIUrl":"https://doi.org/10.1109/IPSN.2018.00055","url":null,"abstract":"Precise Time-of-Arrival (TOA) estimations of aircraft and drone signals are important for a wide set of applications including aircraft/drone tracking, air traffic data verification, or self-localization. Our focus in this work is on TOA estimation methods that can run on low-cost software-defined radio (SDR) receivers, as widely deployed in Mode S / ADS-B crowdsourced sensor networks such as the OpenSky Network. We evaluate experimentally classical TOA estimation methods which are based on a cross-correlation with a reconstructed message template and find that these methods are not optimal for such signals. We propose two alternative methods that provide superior results for real-world Mode S / ADS-B signals captured with low-cost SDR receivers. The best method achieves a standard deviation error of 1.5 ns.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129514117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joshua Adkins, Bradford Campbell, Branden Ghena, Neal Jackson, P. Pannuto, S. Rohrer, P. Dutta
{"title":"The Signpost Platform for City-Scale Sensing","authors":"Joshua Adkins, Bradford Campbell, Branden Ghena, Neal Jackson, P. Pannuto, S. Rohrer, P. Dutta","doi":"10.1109/IPSN.2018.00047","DOIUrl":"https://doi.org/10.1109/IPSN.2018.00047","url":null,"abstract":"City-scale sensing holds the promise of enabling a deeper understanding of our urban environments. However, a city-scale deployment requires physical installation, power management, and communications all challenging tasks standing between a good idea and a realized one. This indicates the need for a platform that enables easy deployment and experimentation for applications operating at city scale. To address these challenges, we present Signpost, a modular, energy-harvesting platform for city-scale sensing. Signpost simplifies deployment by eliminating the need for connection to wired infrastructure and instead harvesting energy from an integrated solar panel. The platform furnishes the key resources necessary to support multiple, pluggable sensor modules while providing fair, safe, and reliable sharing in the face of dynamic energy constraints. We deploy Signpost with several sensor modules, showing the viability of an energy-harvesting, multi-tenant, sensing system, and evaluate its ability to support sensing applications. We believe Signpost reduces the difficulty inherent in city-scale deployments, enables new experimentation, and provides improved insights into urban health.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"15 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113939630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Demo Abstract: A Motion-Triggered Stereo Camera for 3D Experience Capture","authors":"Bashima Islam, Md Tamzeed Islam, S. Nirjon","doi":"10.1109/ipsn.2018.00030","DOIUrl":"https://doi.org/10.1109/ipsn.2018.00030","url":null,"abstract":"This demo is an implementation of our motion-triggered camera system that captures, processes, stores, and transmits 3D visual information of a real-world environment using a low-cost camera-based sensor system that is constrained by its limited processing capability, storage, and battery life. This system can be used in applications such as capturing and sharing 3D content in the social media, training people in different professions, and post-facto analysis of an event. This system uses off-the-shelf hardware and standard computer vision algorithms. Its novelty lies in the ability to optimally control camera data acquisition and processing stages to guarantee the desired quality of captured information and battery life. The design of the controller is based on extensive measurements and modeling of the relationships between the linear and angular motion of a camera and the quality of generated 3D point clouds as well as the battery life of the system. To achieve this, we 1) devise a new metric to quantify the quality of generated 3D point clouds, 2) formulate an optimization problem to find an optimal trigger point for the camera system and prolongs its battery life while maximizing the quality of captured 3D environment, and 3) make the model adaptive so that the system evolves and its performance improves over time.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122822406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. L. Maia Neto, Yuri L. Pereira, Artur L. F. Souza, Ítalo F. S. Cunha, Leonardo B. Oliveira
{"title":"Demo Abstract: Attributed-Based Authentication and Access Control for IoT Home Devices","authors":"A. L. Maia Neto, Yuri L. Pereira, Artur L. F. Souza, Ítalo F. S. Cunha, Leonardo B. Oliveira","doi":"10.1109/ipsn.2018.00019","DOIUrl":"https://doi.org/10.1109/ipsn.2018.00019","url":null,"abstract":"We demonstrate attribute-based authentication and access control schemes tailored to resource-constrained devices typical of IoT home environments. The demo shows how IoT devices would be managed and controlled in such scenario. The underlying cryptographic scheme relies on an Attribute-Based Cryptosystem (ABC) to cryptographically implement an authenticated Attribute-Based Access Control (ABAC) mechanism.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126869917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Magno, Stefan Rickli, Josefine Quack, Oliver Brunecker, L. Benini
{"title":"Poster Abstract: Combining LoRa and RTK to Achieve a High Precision Self-Sustaining Geo-Localization System","authors":"M. Magno, Stefan Rickli, Josefine Quack, Oliver Brunecker, L. Benini","doi":"10.1109/ipsn.2018.00043","DOIUrl":"https://doi.org/10.1109/ipsn.2018.00043","url":null,"abstract":"High precision Global Navigation Satellite System (GNSS) is a crucial feature for geo-localization to enhance future applications such as self-driving of vehicles. Real Time Kinematic (RTK) is a promising technology to achieve centimeter precision in GNSS, however it requires radio communication and to reduce power consumption this is done at meters range, reducing the use in navigation systems. In this work, we present a high precision low power systems that can be energetically autonomous. The proposed approach exploits a GNSS module with RTK combined with a long-range communication radio (LoRa) to achieve a high-precision localization system with minimal wireless radio infrastructure requirements. Wireless sensor nodes, designed to be energy efficient, comprise the system and they include a solar energy harvesting for self-sustainability. Preliminary experimental results, with in-field measurements, show an average accuracy below 1 meter up to more than 1km distance of the end-node from the geostationary reference anchor; with a peak accuracy of only 10cm. Low power consumption is also presented with in-filed measurements.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117284570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Pérez-Penichet, Claro Noda, Ambuj Varshney, T. Voigt
{"title":"Demo Abstract: Battery-Free 802.15.4 Receiver","authors":"C. Pérez-Penichet, Claro Noda, Ambuj Varshney, T. Voigt","doi":"10.1109/ipsn.2018.00028","DOIUrl":"https://doi.org/10.1109/ipsn.2018.00028","url":null,"abstract":"We present the architecture for an 802.15.4 receiver that enables battery-free operation. To reach micro-power consumption, the architecture diverges from that of commodity receivers in the following ways: First, similar to backscatter transmitters, it offloads the power-hungry local oscillator to an external device. Second, we avoid the energy cost of demodulating a phase-modulated signal by treating 802.15.4 as a frequency-modulated one, allowing us to receive with a simple passive detector and an energy-efficient thresholding circuit. We demonstrate an off-the-shelf prototype of our receiver receives 802.15.4 from a distance of 470 cm with the carrier generator 30 cm away. This range is sufficient to integrate with deployed wireless sensor networks (WSNs). We demonstrate this integration by pairing our receiver with a 802.15.4 backscatter transmitter and integrating it with unmodified commodity sensor nodes running the TSCH protocol.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116577953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Afaz Uddin Ahmed, N. Bergmann, R. Arablouei, B. Kusy, F. de Hoog, R. Jurdak
{"title":"Poster Abstract: Fast Indoor Localization Using WiFi Channel State Information","authors":"Afaz Uddin Ahmed, N. Bergmann, R. Arablouei, B. Kusy, F. de Hoog, R. Jurdak","doi":"10.1109/ipsn.2018.00023","DOIUrl":"https://doi.org/10.1109/ipsn.2018.00023","url":null,"abstract":"Indoor localization using radio signals is challenging. A recently proposed algorithm based on WiFi channel state information is an effective solution. However, it relies on a computationally expensive grid search. We propose a new algorithm based on a modified matrix pencil method that reduces the computational complexity by two orders of magnitude without any loss of accuracy.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132405655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}