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O'Nils, Mattias
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Publications (10 of 151) Show all publications
Krug, S., Shallari, I. & O'Nils, M. (2019). A Case Study on Energy Overhead of Different IoT Network Stacks. In: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT): . Paper presented at 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Limerick, Ireland, 15-18 April 2019 (pp. 528-529). IEEE
Open this publication in new window or tab >>A Case Study on Energy Overhead of Different IoT Network Stacks
2019 (English)In: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), IEEE, 2019, p. 528-529Conference paper, Published paper (Refereed)
Abstract [en]

Due to the limited energy budget for sensor nodes in the Internet of Things (IoT), it is crucial to develop energy efficient communications amongst others. This need leads to the development of various energy-efficient protocols that consider different aspects of the energy status of a node. However, a single protocol covers only one part of the whole stack and savings on one level might not be as efficient for the overall system, if other levels are considered as well. In this paper, we analyze the energy required for an end device to maintain connectivity to the network as well as perform application specific tasks. By integrating the complete stack perspective, we build a more holistic view on the energy consumption and overhead for a wireless sensor node. For better understanding, we compare three different stack variants in a base scenario and add an extended study to evaluate the impact of retransmissions as a robustness mechanism. Our results show, that the overhead introduced by the complete stack has an significant impact on the nodes energy consumption especially if retransmissions are required.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
Internet of Things, telecommunication power management, wireless sensor networks, energy overhead, energy budget, sensor nodes, energy efficient communications, energy-efficient protocols, energy status, single protocol, wireless sensor node, nodes energy consumption, Energy consumption, Routing, Synchronization, Routing protocols, Protocol Overhead Comparison, Experimental Observation, Analytical Evaluation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-37175 (URN)10.1109/WF-IoT.2019.8767284 (DOI)2-s2.0-85073895557 (Scopus ID)
Conference
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Limerick, Ireland, 15-18 April 2019
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-11-15Bibliographically approved
Carratu, M., Liguori, C., Pietrosanto, A., O'Nils, M. & Lundgren, J. (2019). Data Fusion for Timber Bundle Volume Measurement. In: : . Paper presented at 2019 IEEE International Instrumentation & Measurement Technology Conference, Auckland, New Zealand, May 20-23, 2019.
Open this publication in new window or tab >>Data Fusion for Timber Bundle Volume Measurement
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2019 (English)Conference paper (Other academic)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-37176 (URN)2-s2.0-85072824626 (Scopus ID)
Conference
2019 IEEE International Instrumentation & Measurement Technology Conference, Auckland, New Zealand, May 20-23, 2019
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-10-20Bibliographically approved
Alqaysi, H., Lawal, N., Fedorov, I., Thörnberg, B. & O'Nils, M. (2019). Design Exploration of Multi-Camera Dome. In: ICDSC 2019 Proceedings of the 13th International Conference on Distributed Smart Cameras: . Paper presented at 13th InternationalConference on Distributed Smart Cameras (ICDSC 2019), Trento, Italy, 9-11 September, 2019. New York, NY: ACM Digital Library, Article ID Article No. 7a.
Open this publication in new window or tab >>Design Exploration of Multi-Camera Dome
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2019 (English)In: ICDSC 2019 Proceedings of the 13th International Conference on Distributed Smart Cameras, New York, NY: ACM Digital Library, 2019, article id Article No. 7aConference paper, Published paper (Refereed)
Abstract [en]

Visual monitoring systems employ distributed smart cameras toeffectively cover a given area satisfying specific objectives. Thechoice of camera sensors and lenses and their deployment affectsdesign cost, accuracy of the monitoring system and the ability toposition objects within the monitored area. Design cost can bereduced by investigating deployment topology such as groupingcameras together to form a dome at a node and optimize it formonitoring constraints. The constraints may include coverage area,number of cameras that can be integrated in a node and pixelresolution at a given distance. This paper presents a method foroptimizing the design cost of multi-camera dome by analyzing tradeoffsbetween monitoring constraints. The proposed method can beused to reduce monitoring cost while fulfilling design objectives.Results show how to increase coverage area for a given cost byrelaxing requirements on design constraints. Multi-camera domescan be used in sky monitoring applications such as monitoring windparks and remote air-traffic control of airports where all-round fieldof view about a point is required to monitor.

Place, publisher, year, edition, pages
New York, NY: ACM Digital Library, 2019
Keywords
Distributed smart cameras, sky monitoring, volumetric surveillance.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-36762 (URN)10.1145/3349801.3349808 (DOI)2-s2.0-85073333209 (Scopus ID)978-1-4503-7189-6 (ISBN)
Conference
13th InternationalConference on Distributed Smart Cameras (ICDSC 2019), Trento, Italy, 9-11 September, 2019
Projects
SMART
Available from: 2019-07-29 Created: 2019-07-29 Last updated: 2019-11-14Bibliographically approved
Taami, T., Krug, S. & O'Nils, M. (2019). Experimental Characterization of Latency in Distributed IoT Systems with Cloud Fog Offloading. In: IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS: . Paper presented at 15th IEEE International Workshop on Factory Communication Systems, WFCS 2019, Sundsvall, 27 May-29 May 2019. Institute of Electrical and Electronics Engineers (IEEE), Article ID 8757960.
Open this publication in new window or tab >>Experimental Characterization of Latency in Distributed IoT Systems with Cloud Fog Offloading
2019 (English)In: IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS, Institute of Electrical and Electronics Engineers (IEEE), 2019, article id 8757960Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things (IoT) enables users to gather and analyze data from a large number of devices. Knowledge obtained by these systems is valuable in order to understand, control, and enhance the monitored process. The mass of information to process leads however to new challenges related to required resources for both data processing and data transportation. Two critical metrics are latency and consumed energy to complete a given task. Both metrics might be exceed if all processing is done locally at the sensor device level. Cloud and Fog computing concepts can help to mitigate this effect. However, using such offloading concepts add complexity and overhead to the system. In this paper, we study the latency for processing and communication tasks in a distributed IoT systems with respect to cloud or fog offloading and derive characteristic cost functions for the studied tasks. Our results give valuable insights into the tradeoffs and constraint within our example scenario. The developed characterization methodology can however be applied to any kind of IoT system and thus allowing more general analysis. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
Keywords
Communication Latency, Distributed IoT Systems, Performance Characterization, Processing Latency
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-36902 (URN)10.1109/WFCS.2019.8757960 (DOI)000490866300011 ()2-s2.0-85070104037 (Scopus ID)9781728112688 (ISBN)
Conference
15th IEEE International Workshop on Factory Communication Systems, WFCS 2019, Sundsvall, 27 May-29 May 2019
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2019-08-20 Created: 2019-08-20 Last updated: 2019-11-13Bibliographically approved
Shallari, I. & O'Nils, M. (2019). From the Sensor to the Cloud: Intelligence Partitioning for Smart Camera Applications. Sensors, 19(23), Article ID 5162.
Open this publication in new window or tab >>From the Sensor to the Cloud: Intelligence Partitioning for Smart Camera Applications
2019 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 19, no 23, article id 5162Article in journal (Refereed) Published
Abstract [en]

The Internet of Things has grown quickly in the last few years, with a variety of sensing, processing and storage devices interconnected, resulting in high data traffic. While some sensors such as temperature, or humidity sensors produce a few bits of data periodically, imaging sensors output data in the range of megabytes every second. This raises a complexity for battery operated smart cameras, as they would be required to perform intensive image processing operations on large volumes of data, within energy consumption constraints. By using intelligence partitioning we analyse the effects of different partitioning scenarios for the processing tasks between the smart camera node, the fog computing layer and cloud computing, in the node energy consumption as well as the real time performance of the WVSN (Wireless Vision Sensor Node). The results obtained show that traditional design space exploration approaches are inefficient for WVSN, while intelligence partitioning enhances the energy consumption performance of the smart camera node and meets the timing constraints.

Place, publisher, year, edition, pages
Switzerland: , 2019
Keywords
intelligence partitioning, smart camera, WVSN, IoT, in-sensor processing, fog, cloud, energy-efficiency
National Category
Embedded Systems
Identifiers
urn:nbn:se:miun:diva-34612 (URN)10.3390/s19235162 (DOI)
Available from: 2019-11-28 Created: 2019-11-28 Last updated: 2019-12-11Bibliographically approved
Krug, S. & O'Nils, M. (2019). Modeling and Comparison of Delay and Energy Cost of IoT Data Transfers. IEEE Access, 7, 58654-58675
Open this publication in new window or tab >>Modeling and Comparison of Delay and Energy Cost of IoT Data Transfers
2019 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 58654-58675Article in journal (Refereed) Published
Abstract [en]

Communication is often considered as the most costly component of a wireless sensor node. As a result, a variety of technologies and protocols aim to reduce the energy consumption for the communication especially in the Internet of Things context. In order to select the best suitable technology for a given use case, a tool that allows the comparison of these options is needed. The goal of this paper is to introduce a new modular modeling framework that enables a comparison of various technologies based on analytical calculations. We chose to model the cost for a single data transfer of arbitrary application data amounts in order to provide flexibility regarding the data amount and traffic patterns. The modeling approach covers the stack traversal of application data and thus in comparison to other approaches includes the required protocol overhead directly. By applying our models to different data amounts, we are able to show tradeoffs between various technologies and enable comparisons for different scenarios. In addition, our results reveal the impact of design decisions that can help to identify future development challenges.

Keywords
Analytical models, communication networks, data transfer, Internet of Things, performance evaluation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-36650 (URN)10.1109/ACCESS.2019.2913703 (DOI)000468544300001 ()2-s2.0-85065892488 (Scopus ID)
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2019-07-08 Created: 2019-07-08 Last updated: 2019-09-09Bibliographically approved
Krug, S., Bader, S., Oelmann, B. & O'Nils, M. (2019). Suitability of Communication Technologies for Harvester-Powered IoT-Nodes. In: IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS: . Paper presented at 15th IEEE International Workshop on Factory Communication Systems, WFCS 2019, Sundsvall, 27 May-29 May 2019. Institute of Electrical and Electronics Engineers (IEEE), Article ID 8758042.
Open this publication in new window or tab >>Suitability of Communication Technologies for Harvester-Powered IoT-Nodes
2019 (English)In: IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS, Institute of Electrical and Electronics Engineers (IEEE), 2019, article id 8758042Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things introduces Internet connectivity to things and objects in the physical world and thus enables them to communicate with other nodes via the Internet directly. This enables new applications that for example allow seamless process monitoring and control in industrial environments. One core requirement is that the nodes involved in the network have a long system lifetime, despite limited access to the power grid and potentially difficult propagation conditions. Energy harvesting can provide the required energy for this long lifetime if the node is able to send the data based on the available energy budget. In this paper, we therefore analyze and evaluate which common IoT communication technologies are suitable for nodes powered by energy harvesters. The comparison includes three different constraints from different energy sources and harvesting technologies besides several communication technologies. Besides identifying possible technologies in general, we evaluate the impact of duty-cycling and different data sizes. The results in this paper give a road map for combining energy harvesting technology with IoT communication technology to design industrial sensor nodes. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
Keywords
Energy Harvesting, Industrial Applications, Internet of Things, Network Access Technologies
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-36903 (URN)10.1109/WFCS.2019.8758042 (DOI)000490866300029 ()2-s2.0-85070056989 (Scopus ID)9781728112688 (ISBN)
Conference
15th IEEE International Workshop on Factory Communication Systems, WFCS 2019, Sundsvall, 27 May-29 May 2019
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2019-08-20 Created: 2019-08-20 Last updated: 2019-11-14Bibliographically approved
Aurangzeb, K., Alhussein, M. & O'Nils, M. (2018). Analysis of Binary Image Coding Methods for Outdoor Applications of Wireless Vision sensor Networks. IEEE Access, 6, 16932-16941
Open this publication in new window or tab >>Analysis of Binary Image Coding Methods for Outdoor Applications of Wireless Vision sensor Networks
2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 16932-16941Article in journal (Refereed) Published
Abstract [en]

The processing of images at the vision sensor nodes (VSN) requires a high computation power and their transmission requires a large communication bandwidth. The energy budget is limited in outdoor applications of wireless vision sensor networks (WVSN). This means that both the processing of images at the VSN and the communication to server must be energy efficient. The wireless communication of uncompressed data consumes huge amounts of energy. Data compression methods are efficient in reducing data in images and can be used for the reduction in transmission energy. We have evaluated seven binary image coding techniques. Our evaluation is based on the processing complexity and energy consumption of the compression methods on the embedded platforms. The focus is to come up with a binary image coding method, which has good compression efficiency and short processing time. An image coding method with such attributes will result in reduced total energy requirement of the node. We have used both statistically generated images and real captured images, in our experiments. Based on our results, we conclude that International Telegraph and Telephone Consultative Committee Group 4, gzip_pack and JPEG-LS are suitable coding methods for the outdoor applications of WVSNs.

Keywords
Embedded systems, energy consumption, image compression, wireless vision sensor network
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-33623 (URN)10.1109/ACCESS.2018.2816162 (DOI)000430436500001 ()2-s2.0-85043782275 (Scopus ID)
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2019-09-09Bibliographically approved
Shallari, I., Krug, S. & O'Nils, M. (2018). Architectural evaluation of node: server partitioning for people counting. In: ACM International Conference Proceeding Series: . Paper presented at 12th International Conference on Distributed Smart Cameras, ICDSC 2018; Eindhoven; Netherlands; 3 September 2018 through 4 September 2018. New York: ACM Digital Library, Article ID Article No. 1.
Open this publication in new window or tab >>Architectural evaluation of node: server partitioning for people counting
2018 (English)In: ACM International Conference Proceeding Series, New York: ACM Digital Library, 2018, article id Article No. 1Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things has changed the range of applications for cameras requiring them to be easily deployed for a variety of scenarios indoor and outdoor, while achieving high performance in processing. As a result, future projections emphasise the need for battery operated smart cameras, capable of complex image processing tasks that also communicate within one another, and the server. Based on these considerations, we evaluate in-node and node – server configurations of image processing tasks to provide an insight of how tasks partitioning affects the overall energy consumption. The two main energy components taken in consideration for their influence in the total energy consumption are processing and communication energy. The results from the people counting scenario proved that processing background modelling, subtraction and segmentation in-node while transferring the remaining tasks to the server results in the most energy efficient configuration, optimising both processing and communication energy. In addition, the inclusion of data reduction techniques such as data aggregation and compression not always resulted in lower energy consumption as generally assumed, and the final optimal partition did not include data reduction.

Place, publisher, year, edition, pages
New York: ACM Digital Library, 2018
Keywords
Image processing, people counting, smart camera, WVSN, thermography
National Category
Embedded Systems Signal Processing
Identifiers
urn:nbn:se:miun:diva-34613 (URN)10.1145/3243394.3243688 (DOI)000455840700001 ()2-s2.0-85056618892 (Scopus ID)978-1-4503-6511-6 (ISBN)
Conference
12th International Conference on Distributed Smart Cameras, ICDSC 2018; Eindhoven; Netherlands; 3 September 2018 through 4 September 2018
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2018-10-03 Created: 2018-10-03 Last updated: 2019-09-10Bibliographically approved
Shahzad, K. & O'Nils, M. (2018). Condition Monitoring in Industry 4.0 - Design Challenges and Possibilities: A Case Study. In: 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 - Proceedings: . Paper presented at 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018, Brescia, Italy, 16 April 2018 through 18 April 2018 (pp. 101-106). IEEE, Article ID 8428306.
Open this publication in new window or tab >>Condition Monitoring in Industry 4.0 - Design Challenges and Possibilities: A Case Study
2018 (English)In: 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 - Proceedings, IEEE, 2018, p. 101-106, article id 8428306Conference paper, Published paper (Refereed)
Abstract [en]

The application of IoT in manufacturing industry is believed to transform the traditional concept of factories into fully integrated manufacturing systems that are capable of meeting different requirements/demands originating within the factory, in supply chain and in user communities in a real time manner. One key area that is likely to benefit at an early stage development of the Industrial IoT is the condition monitoring of the production machinery. However, there are several challenges in realizing effective IoT enabled condition monitoring solutions with currently available enabling technologies. In this paper, we analyze the design challenges associated with realizing IoT enabled industrial condition monitoring with particular focus on enabling end-devices in managing large amount of acquired data. With the help of a vibration based condition monitoring case study the challenges are analyzed in a quantitative manner and possible alternatives are explored. The results suggest that for the efficient and long term condition monitoring in the smart industry of the future, improvements in the enabling technologies are required to design optimized end-devices. 

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Condition Monitoring, IIoT, Industrial health monitoring, Industry 4.0, IoT
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-34594 (URN)10.1109/METROI4.2018.8428306 (DOI)2-s2.0-85052495027 (Scopus ID)9781538624975 (ISBN)
Conference
2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018, Brescia, Italy, 16 April 2018 through 18 April 2018
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2018-10-03 Created: 2018-10-03 Last updated: 2019-09-09Bibliographically approved
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