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Enabling fully distributed global services on the Internet-of Things
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för informations- och kommunikationssystem.
2014 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Sundsvall: Mid Sweden University , 2014. , s. 63
Serie
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 208
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-24027Lokal ID: STCISBN: 978-91-87557-93-4 (tryckt)OAI: oai:DiVA.org:miun-24027DiVA, id: diva2:775412
Disputas
2014-11-27, 10:00
Tilgjengelig fra: 2015-01-02 Laget: 2015-01-02 Sist oppdatert: 2017-03-06bibliografisk kontrollert
Delarbeid
1. Evaluating Ubiquitous Sensor Information Sharing on the Internet-of-Things
Åpne denne publikasjonen i ny fane eller vindu >>Evaluating Ubiquitous Sensor Information Sharing on the Internet-of-Things
2012 (engelsk)Inngår i: Proc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012: 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012, IEEE conference proceedings, 2012, s. 1454-1460Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Next generation context-aware mobile applicationswill require a continuous update of relevant information about auser’s surroundings, in order to create low latency notificationsand high quality of experience. Existing mobile devices alreadycontain a large number of built in sensors which are capableof producing huge amounts of sensor data, exceeding boththe capacity of the local storage and the Internet connection.Therefore, we will in this paper study the limits when sharingcontextual information from mobile devices, as well as finding theimpact of this information overload for the Internet-of-Things.Furthermore, we present an evaluation model for assessing theeffort required to present applications with relevant contextinformation. In conclusion, the model shows that one feasiblesolution for the future Internet-of-Things is a peer-to-peer basedsolution which can control the flow of information without anycentralized authority, to circumvent earlier limitations.

sted, utgiver, år, opplag, sider
IEEE conference proceedings, 2012
Emneord
Evaluation model; Information overload; Internet-of-Things
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-16622 (URN)10.1109/TrustCom.2012.151 (DOI)2-s2.0-84868099324 (Scopus ID)STC (Lokal ID)978-076954745-9 (ISBN)STC (Arkivnummer)STC (OAI)
Konferanse
11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012;Liverpool;25 June 2012through27 June 2012;Category numberE4745;Code93340
Prosjekter
InSIKTKITT
Tilgjengelig fra: 2012-07-03 Laget: 2012-07-03 Sist oppdatert: 2016-10-20bibliografisk kontrollert
2. Enabling Ubiquitous Sensor-Assisted Applications on the Internet-of-Things
Åpne denne publikasjonen i ny fane eller vindu >>Enabling Ubiquitous Sensor-Assisted Applications on the Internet-of-Things
2014 (engelsk)Inngår i: Personal and Ubiquitous Computing, ISSN 1617-4909, E-ISSN 1617-4917, Vol. 18, nr 4, s. 977-986Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The increase in sensor-assisted applicationssuch as sensing campaigns and interactions in large-scalepopulations put new demands on seamless sharing ofsensor information on a global scale. Existing support islimited due to simplified information models reflectingnarrow application scenarios and poorly scaling architectures.In response to this, we present an application architecturefor pervasive internet-of-things applications whichcircumvents these limitations. Our architecture enablesapplications to utilize information from sensors and wirelesssensor networks via a peer-to-peer overlay. Theoverlay shares sensor information in an generic informationmodel, which is extensible and thus enables intelligentapplication behavior. Our evaluation of the architectureindicates that it supports the sharing of sensor informationon a global scale in sensor-assisted applications, with lowresponse times. Finally, we evaluate the feasibility ofrunning such applications in end devices with limitedresources in a sensor-assisted application prototype.

Emneord
Internet-of-things, Context awareness, Ubiquitous
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-20434 (URN)10.1007/s00779-013-0712-9 (DOI)000333341000021 ()2-s2.0-84897424448 (Scopus ID)STC (Lokal ID)STC (Arkivnummer)STC (OAI)
Merknad

Published online 24 Aug 2013

Tilgjengelig fra: 2013-12-03 Laget: 2013-12-03 Sist oppdatert: 2017-12-06bibliografisk kontrollert
3. MediaSense – an Internet of Things Platform for Scalable and Decentralized Context Sharing and Control
Åpne denne publikasjonen i ny fane eller vindu >>MediaSense – an Internet of Things Platform for Scalable and Decentralized Context Sharing and Control
Vise andre…
2012 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

Emneord
Internet of Things, Context awareness, Sensors, Actuators, Open source
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-16620 (URN)STC (Lokal ID)STC (Arkivnummer)STC (OAI)
Konferanse
ICDT2012
Prosjekter
InSIKTKITT
Tilgjengelig fra: 2012-07-03 Laget: 2012-07-03 Sist oppdatert: 2016-10-20bibliografisk kontrollert
4. Challenges when Realizing a Fully Distributed Internet-of-Things - How we Created the SensibleThings Platform
Åpne denne publikasjonen i ny fane eller vindu >>Challenges when Realizing a Fully Distributed Internet-of-Things - How we Created the SensibleThings Platform
2014 (engelsk)Inngår i: ICDT 2014, The Ninth International Conference on Digital Telecommunications / [ed] Constantin Paleologu, University Politehnica of Bucharest, Romania Andy Snow, Ohio University, USA, 2014, s. 13-18Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

Emneord
overlay, sensors, actuators, internet-of-things
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-22557 (URN)STC (Lokal ID)978-1-61208-316-2 (ISBN)STC (Arkivnummer)STC (OAI)
Konferanse
The Ninth International Conference on Digital Telecommunications ICDT, 2014.
Tilgjengelig fra: 2014-08-12 Laget: 2014-08-12 Sist oppdatert: 2017-03-06bibliografisk kontrollert
5. Enabling Continuously Evolving Context Information in Mobile Environments by Utilizing Ubiquitous Sensors
Åpne denne publikasjonen i ny fane eller vindu >>Enabling Continuously Evolving Context Information in Mobile Environments by Utilizing Ubiquitous Sensors
2012 (engelsk)Inngår i: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, Springer Berlin/Heidelberg, 2012, s. 289-303Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Context-aware applications require local access to current and relevant views of context information derived from global sensors. Existing approaches provide only limited support, because they either rely on a network broker service precluding open-ended searches, or they adopt a presence model which has scalability issues. To this end, we propose a fully distributed architecture employing context user-agents co-located with data-mining agents. These agents create and maintain local schemas using ranking of global context information based on context proximity. Continually evolving context information thus provides applications with current and relevant context views derived from global sensors. Furthermore, we present an evaluation model for assessing the effort required to present local applications with current and relevant contextual views. We show in a comparison with earlier work that the approach achieves the provisioning of evolving context information to applications within predictable time bounds, circumventing earlier limitations.

sted, utgiver, år, opplag, sider
Springer Berlin/Heidelberg, 2012
Emneord
Evolving context, ubiquitous sensors, mobile environments
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-14563 (URN)10.1007/978-3-642-30422-4_21 (DOI)2-s2.0-84869597832 (Scopus ID)STC (Lokal ID)STC (Arkivnummer)STC (OAI)
Konferanse
3rd International ICST Conference on Mobile Networks and Management, MONAMI 2011;Aveiro;21 September 2011through23 September 2011;Code91208
Tilgjengelig fra: 2011-10-03 Laget: 2011-10-03 Sist oppdatert: 2018-01-12bibliografisk kontrollert
6. Continuously Changing Information on a Global Scale and its Impact for the Internet-of-Things
Åpne denne publikasjonen i ny fane eller vindu >>Continuously Changing Information on a Global Scale and its Impact for the Internet-of-Things
2014 (engelsk)Inngår i: Journal on spesial topics in mobile networks and applications, ISSN 1383-469X, E-ISSN 1572-8153, Vol. 19, nr 1, s. 33-44Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This article analyzes the challenges of supportingcontinual changes of context information in Internetof-Things applications. These applications require aconstant flow of continuously changing information fromsensor based sources in order to ensure a high quality-ofexperience.However, an uncontrolled flow between sourcesand sinks on a global scale wastes resources, such ascomputational power, communication bandwidth, andbattery time. In response to these challenges we presenta general approach which focuses on four layers wherewe provide a proposed solution to each layer. We haverealized the general model into a proof-of-concept implementationrunning on devices with limited resources,where we can moderate the information exchange basedon relevance and sought after quality-of-experience bythe applications. In conclusion, we evaluate our solutionand present a summary of our experiences regardingthe impact of continuously changing information on theInternet-of-Things.

Emneord
Pervasive, Context awareness, Real-time, Internet-of-things
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-20435 (URN)10.1007/s11036-013-0479-2 (DOI)000331828700004 ()2-s2.0-84894829955 (Scopus ID)STC (Lokal ID)STC (Arkivnummer)STC (OAI)
Merknad

Publ online 27 october 2013

Tilgjengelig fra: 2013-12-03 Laget: 2013-12-03 Sist oppdatert: 2017-12-06bibliografisk kontrollert
7. Estimating Contextual Situations using Indicators from Smartphone Sensor Values
Åpne denne publikasjonen i ny fane eller vindu >>Estimating Contextual Situations using Indicators from Smartphone Sensor Values
2014 (engelsk)Inngår i: 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, s. 243-250, artikkel-id 7059668Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-22582 (URN)10.1109/iThings.2014.43 (DOI)000380548400034 ()2-s2.0-84946690533 (Scopus ID)STC (Lokal ID)STC (Arkivnummer)STC (OAI)
Konferanse
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
Tilgjengelig fra: 2014-08-18 Laget: 2014-08-18 Sist oppdatert: 2017-03-06bibliografisk kontrollert

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