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Cost efficient data collection of sensory originated data using context-aware mobile devices
Monash University, Melbourne, VIC.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0002-4133-3317
2008 (English)In: 2008 Ninth International Conference on Mobile Data Management workshops: MDMW ; Beijing, China, 27 - 30 April 2008, Piscataway, NJ: IEEE Communications Society, 2008, 190-197 p.Conference paper, Published paper (Refereed)
Abstract [en]

Sensory originated data collection and processing has always been a big challenge in wireless sensor networks (WSN). WSN represent a distributed producer of large amount of valuable data required by varied number of applications. In this paper we propose the use of context aware data mules (CADAMULE) as a solution for smart data collection within sensor networks. We present an extension to Context Spaces modelling theory by incorporating context discovery at runtime. This facilitates our system to discover new context attributes by looking into previous situations and events when pre-defined context is not sufficient for the reasoning process. We use this model as a base to provide contextual information to the mobile data mule whose spare capacity for communication and processing can be used to collect and process sensor data. The focus of the paper is to propose and evaluate a cost-efficient data collection technique which uses a cost formula computed from the context information obtained by the system. We validate our system by a simulation in which we try to reason out and identify the best and also the most cost efficient data mule. The context aware data mule negotiates with the sensor node collecting and delivering the data to the sink

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2008. 190-197 p.
National Category
Media and Communication Technology Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Mobile and Pervasive Computing; Industrial Electronics
Identifiers
URN: urn:nbn:se:ltu:diva-27572DOI: 10.1109/MDMW.2008.6Local ID: 1126d6f0-f37a-11dc-b9d9-000ea68e967bISBN: 978-1-424-44484-7 (print)OAI: oai:DiVA.org:ltu-27572DiVA: diva2:1000756
Conference
International Conference on Mobile Data Management : 27/04/2008 - 30/04/2008
Note
Godkänd; 2008; 20080316 (jerker)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-01-14Bibliographically approved

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Publisher's full texthttp://www.mamce.org/dmcac08/

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