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Sensor sockets enabling reliable communication using a context based grouping mechanism
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.ORCID iD: 0000-0002-1342-0966
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
2011 (English)In: 2011 Baltic Congress on Future Internet and Communications, BCFIC Riga 2011, IEEE conference proceedings, 2011, 161-167 p.Conference paper, Published paper (Refereed)
Abstract [en]

There are more sensors connected to the Internet today and corporations predict that there will be billions of sensors within the decade. With billions of sensors, there is an opportunity for new behavior from applications in mobile devices based on sensor input. But such applications require a mechanism to provide a manageable subset of sensors, relevant to the user's current situation; since no single device is capable of maintaining a list of billion sensors. By using a context enabled distributed storage of sensors; we can provide communication with a finite set of nodes that are deemed relevant to the user's current context.We introduce the notion of a sensor socket, that share API similarities to a TCP/IP socket, which provides communication with remote devices. We identify requirements on the grouping mechanism concerning connectivity to ensure reliable communication decoupled from location. We then provide a scenario for how sensor sockets could enable device connectivity. Finally, we demonstrate a subset of the scenario, with a proof of concept, by presenting ad-hoc association of a printing resource with a mobile device connected to the Internet via mobile broadband

Place, publisher, year, edition, pages
IEEE conference proceedings, 2011. 161-167 p.
Keyword [en]
Context-based; Current situation; Distributed storage; Finite set; Mobile broadband; Proof of concept; Reliable communication; Remote devices; Sensor inputs; TCP/IP sockets
National Category
Computer Science
Identifiers
URN: urn:nbn:se:miun:diva-13954DOI: 10.1109/BCFIC-RIGA.2011.5733232Scopus ID: 2-s2.0-79953883053Local ID: STCISBN: 978-142448513-0 (print)OAI: oai:DiVA.org:miun-13954DiVA: diva2:421941
Conference
2011 Baltic Congress on Future Internet and Communications, BCFIC Riga 2011; Riga; 16 February 2011 through 18 February 2011; Category number CFP1106L-ART; Code 84530
Available from: 2011-06-10 Created: 2011-06-10 Last updated: 2016-10-19Bibliographically 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. 46 p.
Series
Mid Sweden University licentiate thesis, ISSN 1652-8948 ; 60
National Category
Computer Science
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: 2016-10-19Bibliographically 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. 82 p.
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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Citation style
  • apa
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