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Content-extraction-based compression of acceleration data for mobile wireless sensors
KTH, School of Information and Communication Technology (ICT), Electronic Systems. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
KTH, School of Information and Communication Technology (ICT), Electronic Systems. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
KTH, School of Information and Communication Technology (ICT), Electronic Systems. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
2012 (English)In: Sensors, 2012 IEEE, IEEE , 2012, 1244-1247 p.Conference paper, Published paper (Refereed)
Abstract [en]

A content-extraction based acceleration data compression algorithm is proposed for real-time transport quality monitoring in critical logistics applications. It splits the original data into three components, Tilt, Shock and Vibration, and compresses them separately by making use of the specific characteristics. Outstanding performances as well as low complexity and good scalability are achieved, which are essential for resource-constrained mobile wireless sensors. The algorithm has been proven by 46-day field test data. The compression ratio is up to 3.75 in loss-less mode, and up to 142 in lossy mode with 28.9dB SNR.

Place, publisher, year, edition, pages
IEEE , 2012. 1244-1247 p.
Series
IEEE Sensors, ISSN 1930-0395
Keyword [en]
Data Compression, Acceleration, Wireless Sensor, Content Extraction, Vehicle Monitoring
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-100592DOI: 10.1109/ICSENS.2012.6411024ISI: 000315671100304Scopus ID: 2-s2.0-84873940558ISBN: 978-145771765-9 (print)OAI: oai:DiVA.org:kth-100592DiVA: diva2:543951
Conference
11th IEEE SENSORS 2012 Conference; Taipei ; 28 October 2012 through 31 October 2012
Note

QC 20130115

Available from: 2012-08-12 Created: 2012-08-12 Last updated: 2013-05-23Bibliographically approved
In thesis
1. Technologies and Architectures of the Internet-of-Things (IoT) for Health and Well-being
Open this publication in new window or tab >>Technologies and Architectures of the Internet-of-Things (IoT) for Health and Well-being
2013 (English)Doctoral thesis, comprehensive summary (Other academic) [Artistic work]
Abstract [en]

The emerging technology breakthrough of the Internet-of-Things (IoT) is expected to offer promising solutions for food supply chain (FSC) and in-home healthcare (IHH), which may significantly contribute to human health and well-being. In this thesis, we have investigated the technologies and architectures of the IoT for these two applications as so-called Food-IoT and Health-IoT respectively. We intend to resolve a series of research problems about the WSN architectures, device architectures and system integration architectures. To reduce the time-to-market and risk of failure, business aspects are taken into account more than before in the early stage of technology development because the technologies and applications of IoT are both immature today.

The challenges about enabling devices that we have addressed include: the WSN mobility and wide area deployment, efficient data compression in resource-limited wireless sensor devices, reliable communication protocol stack architecture, and integration of acting capacity to the low cost intelligent and interactive packaging (I2Pack). Correspondingly, the WAN-SAN coherent architecture of WSN, the RTOS-based and multiprocessor friendly stack architecture, the content-extraction based data compression algorithm, and the CDM-based I2Pack solution are proposed and demonstrated.

At the system level, we have addressed the challenges about effective integration of scattered devices and technologies, including EIS and information integration architectures such as shelf-life prediction and real-time supply chain re-planning for the Food-IoT, and device and service integration architectures for the Health-IoT. Additionally, we have also addressed some challenges at the top business level, including the Value Chain Models and Value Proposition of the Food-IoT, and the cooperative ecosystem model of the Health-IoT. These findings are generic and not dependent on our proprietary technologies and devices.

To be more generalized, we have demonstrated an effective research approach, the so-called Business-Technology Co-Design (BTCD),  to resolve an essential challenge in nowadays research on the IoT -- the lack of alignment of basic technology and practical business requirements. We have shown its effectiveness by our design practice. It could be an instructive example of “the change of mindset” which is essential for the IoT research in the future.

Place, publisher, year, edition, pages
Kista Sweden: KTH Royal Institute of Technology, 2013. xiv, 75 p.
Keyword
Internet-of-Things, Wireless Sensor Network, Enterprise Information System, Food Supply Chain, In-Home Healthcare
National Category
Engineering and Technology
Research subject
SRA - ICT
Identifiers
urn:nbn:se:kth:diva-122213 (URN)978-91-7501-736-5 (ISBN)
Public defence
2013-06-10, Sal-D, KTH Forum, Kista, 10:00 (English)
Opponent
Supervisors
Note

QC 20130523

Available from: 2013-05-23 Created: 2013-05-14 Last updated: 2013-05-23Bibliographically approved

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