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Scenarios, Research Issues, and Architecture for Ubiquitous Sensing
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (STC)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (STC)ORCID iD: 0000-0002-1342-0966
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (SensorBasedServices, SensibleReality)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (STC)
2010 (English)In: Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering  Vol 68, Springer, 2010, p. 285-297Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes research issues and work-in-progress concerning ubiquitous sensing. We present scenarios where the current approaches are deficient in addressing the needs for ubiquitous sensing in services and applications on the Future Internet, involving the massive sharing of information from sensors via heterogeneous networks. We propose an information-centric architecture for real-time ubiquitous sensing which capitalizes on the proposed locator/identifier split, thus extending the Network of Information (NetInf) approach. From this we identify the challenges for which we present work-in-progress within the framework of the EU-funded MediaSense project. Firstly, we integrate sensors as addressable objects, exposed by means of sensor gateways and relocatable abstract interfaces. Sensor information is thus made available to applications solely based on identity. Secondly, sensor information is made available in a distributed data model towards searching and browsing. Finally, we evaluate the effectiveness of the architecture in proof-of-concept applications for intelligent commuting, environmental monitoring and seamless media transfer, utilizing two different sensor platforms.

Place, publisher, year, edition, pages
Springer, 2010. p. 285-297
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-12282DOI: 10.1007/978-3-642-21444-8_25ISI: 000307366900025Scopus ID: 2-s2.0-84885889581ISBN: 978-364221443-1 (print)OAI: oai:DiVA.org:miun-12282DiVA, id: diva2:372205
Conference
2nd International ICST Conference on Mobile Networks and Management, MONAMI 2010; Santander; Spain; 22 September 2010 through 24 September 2010
Available from: 2010-11-24 Created: 2010-11-24 Last updated: 2016-09-23Bibliographically approved
In thesis
1. Automatic sensor clustering: connectivity for the internet of things
Open this publication in new window or tab >>Automatic sensor clustering: connectivity for the internet of things
2011 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Current predictions from industry envision that within a decade, the Internet will bepopulated by tens of billion of devices. Already today, smart Internet devices havesensors that provide an enormous potential for creating new applications. The chal-lenge at hand is how this information can be shared on the future Internet in order tounlock the full capability of applications to interact with the real world. Therefore,there is an urgent need for scalable and agile support for connecting people, placesand artifacts in applications via a vast number of devices and sensors on the futureInternet. Clearly, this poses a challenge of sharing and thus storage of so-called con-text information. Beyond scalable context storage lays another challenge to identifyand locate devices that are important to the user. In a support for billion of contin-uously changing sensors and actuators, a search engine would not work. Thereforean intelligent way to group devices is required. This thesis deals with mainly three issues: Firstly, propose a method for devicesto be reachable and thus addressable independent of their location in the infrastruc-ture. Secondly, how can the proposed method be used to insure automatic connectiv-ity anywhere between clients and services offered by the device, in particular associ-ated sensors and actuators. Thirdly, how can the grouping and support be combinedand used to dynamically associate sensors from across the Internet with applications,assuming that the aforementioned grouping exists. The proposed solution to the firstissue is to store identifier-locator pairs in an overlay. For the second issue we pro-pose a sensor socket introduced which exploits the identifier/locator pairs to enabledevice mobility. The third issue is addressed by providing a group-cast operation inthe sensor socket. This arrangement allows communication with peers determinedby a grouping algorithm which operates on context information on the context over-lay. Thus we have enabled the creation of automated dynamic clustering of sensorsand actuators in the Internet of Things.The sensor socket is designed as a stand-alone module to support any contextoverlay that provides the same basic functionality. The sensor socket embodiesa support to automatically interconnect and communicate with devices. Using abridging software, remote devices can be dynamically found and inserted into legacylocal area network where current devices can benefit from the connectivity. For fu-ture work the bridge can be extended to actively locate and identify nearby sensorsthat are unable to participate in the overlay network otherwise.

Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2011. p. 46
Series
Mid Sweden University licentiate thesis, ISSN 1652-8948 ; 60
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-13953 (URN)STC (Local ID)978-91-86694-38-8 (ISBN)STC (Archive number)STC (OAI)
Presentation
2011-04-28, O102, Sundsvall, 08:26
Supervisors
Available from: 2011-06-10 Created: 2011-06-10 Last updated: 2018-01-12Bibliographically approved
2. Resource consumption in a distributed Internet of Things: Examining energy consumption, latencies and workload for timely data delivery and lookup
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

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Kanter, TheoKardeby, VictorForsström, StefanWalters, Jamie

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