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Publications (10 of 21) Show all publications
Kardeby, V., Jennehag, U. & Gidlund, M. (2016). Surveying indexing methods for the Internet of things. In: Internet of Things. IoT Infrastructures: Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015, Revised Selected Papers, Part II. Paper presented at S-CUBE 2015 - 6th EAI International Conference on Sensor Systems and Software, October 26–27, 2015, Rome, Italy part of 2nd International Summit on Internet of Things, IoT 360° 2015; Rome; Italy; 27 October 2015 through 29 October 2015 (pp. 282-291). Springer, 170
Open this publication in new window or tab >>Surveying indexing methods for the Internet of things
2016 (English)In: Internet of Things. IoT Infrastructures: Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015, Revised Selected Papers, Part II, Springer, 2016, Vol. 170, p. 282-291Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things is expected to expand several magnitudes in the coming decade surpassing over 50 billion devices. In the Internet of Things there is a need to support complex queries on the massive amount of information that will be made available. The scalability of the indexes used to support the queries is therefore critical. This paper therefore investigate what type of index that could scale to the size required by the Internet of Things. We find that range query is an approach that support continuously changing information and fast updates with the lowest increase in signaling per participating device.We find that a Chord-based distributed hash table hosting a NUBL range query indexing scheme will scale to the required size while supporting multidimensional range queries.

Place, publisher, year, edition, pages
Springer, 2016
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ISSN 1867-8211 ; 170
Keywords
Distributed hash table, Distributed systems, Indexing method, Internet of things, IoT, Survey
National Category
Communication Systems
Identifiers
urn:nbn:se:miun:diva-26793 (URN)10.1007/978-3-319-47075-7_32 (DOI)000398618300032 ()2-s2.0-85009829589 (Scopus ID)STC (Local ID)978-3-319-47074-0 (ISBN)STC (Archive number)STC (OAI)
Conference
S-CUBE 2015 - 6th EAI International Conference on Sensor Systems and Software, October 26–27, 2015, Rome, Italy part of 2nd International Summit on Internet of Things, IoT 360° 2015; Rome; Italy; 27 October 2015 through 29 October 2015
Available from: 2016-01-04 Created: 2016-01-04 Last updated: 2017-06-09Bibliographically approved
Forsström, S., Kardeby, V., Jennehag, U. & Österberg, P. (2015). A Flexible Sensor and Actuator Gateway for Internet-of-Things Applications. In: : . Paper presented at SNCNW,Karlstad, May 28-29, 2015.
Open this publication in new window or tab >>A Flexible Sensor and Actuator Gateway for Internet-of-Things Applications
2015 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

There is currently a vast amount of sensors, actuators, and other devices intended to create the Internet-of-Things. However, most of these only operate within a particular manufacturer’s ecosystem and with a limited set of compatible hardware. In response to this we present a general sensor and actuator gateway for the Internet-of-Things, which provides the flexibility to easily exchange sensor and actuator hardware. The gateway is implemented as a proof-of-concept prototype that is verified to be compatible with a wide range of commercial off the shelf hardware. It is also shown to be able to run the SensibleThings platform, a fully distributed and open communication platform for Internet-Things applications.

National Category
Computer Engineering
Identifiers
urn:nbn:se:miun:diva-26385 (URN)STC (Local ID)STC (Archive number)STC (OAI)
Conference
SNCNW,Karlstad, May 28-29, 2015
Available from: 2015-12-08 Created: 2015-12-08 Last updated: 2018-01-10Bibliographically approved
Kardeby, V., Jennehag, U. & Gidlund, M. (2015). Overlay Enhanced Mobility for the Internet of Things. Journal of Networks, 10(7), 420-430
Open this publication in new window or tab >>Overlay Enhanced Mobility for the Internet of Things
2015 (English)In: Journal of Networks, ISSN 1796-2056, E-ISSN 1796-2056, Vol. 10, no 7, p. 420-430Article in journal (Refereed) Published
Abstract [en]

One of the major challenges to realize the Internet of Things is to support IP mobility for the large amount of connected entities when they move between different locations and access methods. Current solutions for mobility are host centric, requiring support from the infrastructure, or breaks backwards compatibility, which will take a long time or high economic motivation to implement. Solutions for context information exchange are created for specific, small, or localized scenarios with centralized coordination that do not scale well. There is therefore a need for a solution which both scales well, and support IP mobility, without additional demands on current or future Internet infrastructure.We propose the use of a dual-overlay network structure for both information dissemination and as an alternative to current IP mobility technologies. It separates identities from location by introducing a second overlay network where the identity-to-location association is stored. We show analytically that the proposed solution provide logarithmic latency for localization and reduces the overall workload when the number of sensors per host increases beyond seven, with a workload reduction of 15 percentage points at fifteen sensors per host.

Keywords
Internet of Things; Mobility; Overlay Network; Performance Measurement; Analytical Approach
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-25840 (URN)STC (Local ID)STC (Archive number)STC (OAI)
Available from: 2015-09-07 Created: 2015-09-07 Last updated: 2018-01-11Bibliographically approved
Kardeby, V., Jennehag, U. & Gidlund, M. (2015). Power consumption for global information dissemination in the Internet of Things. In: 2015 IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015: . Paper presented at 10th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015; Singapore; Singapore; 7 April 2015 through 9 April 2015; Category numberCFP15842-ART; Code 112286 (pp. Art. no. 7106933).
Open this publication in new window or tab >>Power consumption for global information dissemination in the Internet of Things
2015 (English)In: 2015 IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015, 2015, p. Art. no. 7106933-Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things is a research topic, where billions of things, both sensing and actuating, connect to the Internet, interact, exchange information and enable intelligent services. Current resource consumption models are adapted to information distribution where the cost of information gathering is neglected. However, the emerging Internet of Things will contain billions of sensors that are capable of producing information in real-time, which both demand more resources, and is of interest to fewer users. In this paper, we present an analytical power model for both information collection and distribution in order to find the total power consumption of the Internet of Things. We apply the model to both a centralized and a distributed scenario where billions of devices produce and consume sensor information continuously. We find through analysis that there is a reduced power consumption for content traffic in distributed solutions when compared with centralized solutions for equal numbers of devices, sensors, and users. Thus, we conclude that a fully distributed solution for information gathering and dissemination is preferable to centralized solutions for retrieving the current version of information that changes often.

Keywords
Internet, Internet of Things, information dissemination, power consumption;telecommunication power management;telecommunication traffic;Internet of Things;analytical power model;content traffic;global information dissemination;information collection;information distribution;information gathering;information retrieval;intelligent services;power consumption;resource consumption models, DSL, Internet of things, Mathematical model, Power demand, Servers, Silicon
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-25842 (URN)10.1109/ISSNIP.2015.7106933 (DOI)000380411000036 ()2-s2.0-84933564059 (Scopus ID)STC (Local ID)978-1-4799-8054-3 (ISBN)STC (Archive number)STC (OAI)
Conference
10th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015; Singapore; Singapore; 7 April 2015 through 9 April 2015; Category numberCFP15842-ART; Code 112286
Available from: 2015-09-07 Created: 2015-09-07 Last updated: 2018-01-11Bibliographically approved
Kardeby, V. (2015). Resource consumption in a distributed Internet of Things: Examining energy consumption, latencies and workload for timely data delivery and lookup. (Doctoral dissertation). Sundsvall: Mid Sweden University
Open this publication in new window or tab >>Resource consumption in a distributed Internet of Things: Examining energy consumption, latencies and workload for timely data delivery and lookup
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2015. p. 82
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 233
National Category
Communication Systems
Identifiers
urn:nbn:se:miun:diva-26792 (URN)STC (Local ID)978-91-88025-45-6 (ISBN)STC (Archive number)STC (OAI)
Public defence
2015-11-25, 10:00
Available from: 2016-01-04 Created: 2016-01-04 Last updated: 2016-12-23Bibliographically approved
Imran, M., O'Nils, M., Kardeby, V. & Munir, H. (2015). STC-CAM1, IR-visual based smart camera system. In: ACM International Conference Proceeding Series: . Paper presented at 9th International Conference on Distributed Smart Cameras, ICDSC 2015; Seville; Spain; 8 September 2015 through 11 September 2015; Code 117454 (pp. 195-196). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>STC-CAM1, IR-visual based smart camera system
2015 (English)In: ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), 2015, p. 195-196Conference paper, Published paper (Refereed)
Abstract [en]

Safety-critical applications require robust and real-time surveillance. For such applications, a vision sensor alone can give false positive results because of poor lighting conditions, occlusion, or different weather conditions. In this work, a visual sensor is complemented by an infrared thermal sensor which makes the system more resilient in unfavorable situations. In the proposed camera architecture, initial data intensive tasks are performed locally on the sensor node and then compressed data is transmitted to a client device where remaining vision tasks are performed. The proposed camera architecture is demonstrated as a proof-ofconcept and it offers a generic architecture with better surveillance while only performing low complexity computations on the resource constrained devices.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2015
Keywords
Wireless smart camera, Infrared, Thermal, Architecture, Wireless vision sensor node, Internet-of-Things.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-25999 (URN)10.1145/2789116.2802649 (DOI)2-s2.0-84958242971 (Scopus ID)STC (Local ID)978-145033681-9 (ISBN)STC (Archive number)STC (OAI)
Conference
9th International Conference on Distributed Smart Cameras, ICDSC 2015; Seville; Spain; 8 September 2015 through 11 September 2015; Code 117454
Available from: 2015-09-28 Created: 2015-09-28 Last updated: 2016-12-23Bibliographically approved
Forsström, S., Kardeby, V., Österberg, P. & Jennehag, U. (2014). Challenges when Realizing a Fully Distributed Internet-of-Things - How we Created the SensibleThings Platform. In: Constantin Paleologu, University Politehnica of Bucharest, Romania Andy Snow, Ohio University, USA (Ed.), ICDT 2014, The Ninth International Conference on Digital Telecommunications: . Paper presented at The Ninth International Conference on Digital Telecommunications ICDT, 2014. (pp. 13-18).
Open this publication in new window or tab >>Challenges when Realizing a Fully Distributed Internet-of-Things - How we Created the SensibleThings Platform
2014 (English)In: ICDT 2014, The Ninth International Conference on Digital Telecommunications / [ed] Constantin Paleologu, University Politehnica of Bucharest, Romania Andy Snow, Ohio University, USA, 2014, p. 13-18Conference paper, Published paper (Refereed)
Abstract [en]

The SensibleThings platform is an open source architecturefor enabling Internet-of-Things based applications.During its development, multiple problems have been faced andsolved, for example issues related to networking, information dissemination,sensors, and application access. This paper describesthese problems and the technical solutions that are implementedin the platform. We also present the current progress and aseries of demonstrator applications, which show the wide rangeof possibilities enabled by the platform. Finally, we present futurework and how it will be used in future research endeavors andcommercial interests.

Keywords
overlay, sensors, actuators, internet-of-things
National Category
Computer Systems
Identifiers
urn:nbn:se:miun:diva-22557 (URN)STC (Local ID)978-1-61208-316-2 (ISBN)STC (Archive number)STC (OAI)
Conference
The Ninth International Conference on Digital Telecommunications ICDT, 2014.
Available from: 2014-08-12 Created: 2014-08-12 Last updated: 2017-03-06Bibliographically approved
Forsström, S. & Kardeby, V. (2014). Estimating Contextual Situations using Indicators from Smartphone Sensor Values. In: Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014: . Paper presented at 2014 IEEE International Conference on Internet of Things, iThings 2014, Collocated with 2014 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2014 and 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014; Taipei; Taiwan; 1 September 2014 through 3 September 2014; Category numberE5288; Code 111576 (pp. 243-250). , Article ID 7059668.
Open this publication in new window or tab >>Estimating Contextual Situations using Indicators from Smartphone Sensor Values
2014 (English)In: Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014, 2014, p. 243-250, article id 7059668Conference paper, Published paper (Refereed)
Abstract [en]

Current context-aware applications often use thelocation of a user as the only indication of the current situation.These existing applications are therefore limited in their situationawareness, because of the poor indoor resolution of the locationsensor and its high resource consumption. In response to theselimitations we present an approach to estimate the contextualsituation of a user without using resource inefficient locationsensors. Our proposed solution utilizes a wide range of lowpowered sensors, together with two modified machine learningtechniques to estimate the situation in a more resource efficientmanner. Simulations and a proof-of-concept application show thatthe situation of a user can be determined within 50 ms at anaccuracy above 90%, when only using the low energy sensorsavailable on a smartphone and its limited processing power.

National Category
Computer Systems
Identifiers
urn:nbn:se:miun:diva-22582 (URN)10.1109/iThings.2014.43 (DOI)000380548400034 ()2-s2.0-84946690533 (Scopus ID)STC (Local ID)STC (Archive number)STC (OAI)
Conference
2014 IEEE International Conference on Internet of Things, iThings 2014, Collocated with 2014 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2014 and 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014; Taipei; Taiwan; 1 September 2014 through 3 September 2014; Category numberE5288; Code 111576
Available from: 2014-08-18 Created: 2014-08-18 Last updated: 2017-03-06Bibliographically approved
Kardeby, V., Forsström, S., Österberg, P. & Jennehag, U. (2014). Fully Distributed Ubiquitous Information Sharing on a Global Scale for the Internet-of-Things. International Journal On Advances in Telecommunications, 7(3 & 4), 69-81
Open this publication in new window or tab >>Fully Distributed Ubiquitous Information Sharing on a Global Scale for the Internet-of-Things
2014 (English)In: International Journal On Advances in Telecommunications, ISSN 1942-2601, E-ISSN 1942-2601, Vol. 7, no 3 & 4, p. 69-81Article in journal (Refereed) Published
Abstract [en]

The Internet-of-Things will require ubiquitous informationsharing between connected things on a global scale, whichexisting systems do not offer. Most current efforts focus on solutionsfor information dissemination, which induce single pointsof failure and introduce unnecessary communication delays. Tothis end we propose the SensibleThings platform, which is afully distributed open source architecture for Internet-of-Thingsbased applications. This article describes the major problems thatInternet-of-Things platforms must address, our technical solutionto these problems, and an evaluation thereof. We also present thecurrent progress and a series of demonstrators, which show thewide range of applications enabled by the platform. Finally, wepresent how the platform will be used in our future research andpotential spin off companies.

Keywords
Overlay, sensors, actuators, internet-of-things
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-24469 (URN)STC (Local ID)STC (Archive number)STC (OAI)
Available from: 2015-02-27 Created: 2015-02-27 Last updated: 2018-01-11Bibliographically approved
Kanter, T., Forsström, S., Kardeby, V., Walters, J., Jennehag, U. & Österberg, P. (2012). MediaSense – an Internet of Things Platform for Scalable and Decentralized Context Sharing and Control. In: : . Paper presented at ICDT2012.
Open this publication in new window or tab >>MediaSense – an Internet of Things Platform for Scalable and Decentralized Context Sharing and Control
Show others...
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Research in Internet-of-Things infrastructures hasso far mainly been focused on connecting sensors and actuatorsto the Internet, while associating these devices to applicationsvia web services. This has contributed to making the technologyaccessible in areas such as smart-grid, transport, health, etc.These early successes have hidden the lack of support forsensor-based applications to share information and limitationsin support for applications to access sensors and actuatorsglobally. We address these limitations in an novel open-sourceplatform, MediaSense. MediaSense offers scalable, seamless,real-time access to global sensors and actuators via hetero-geneous network infrastructure. This paper presents a setof requirements for Internet-of-Things applications support,an overview of our architecture, and application prototypescreated in order to verify the approach in a test bed withusers connected from heterogeneous networks.

Keywords
Internet of Things, Context awareness, Sensors, Actuators, Open source
National Category
Communication Systems
Identifiers
urn:nbn:se:miun:diva-16620 (URN)STC (Local ID)STC (Archive number)STC (OAI)
Conference
ICDT2012
Projects
InSIKTKITT
Available from: 2012-07-03 Created: 2012-07-03 Last updated: 2016-10-20Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1342-0966

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