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Coverage area computation on the run for efficient sensor data collection
Monash University, Melbourne, VIC.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1990-5734
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: New technologies, mobility and security: proceedings of NTMS '2008 conference and workshops ; [held in Tangier, Morocco during November 5 - November 7 2008] / [ed] Akshai Aggarwal, Piscataway, NJ: IEEE Communications Society, 2008Conference paper, Published paper (Refereed)
Abstract [en]

Wireless sensor networks have emerged as a key area of research in recent years. With the dominance of ubiquitous and pervasive era of computing, these networks present a rich infrastructure for valuable information. In this paper we focus on efficient data collection in sensor networks by proposing an algorithm to compute a coverage (collection) area using smart mobile objects. The algorithm proposed computes a collection area dynamically covering nodes around the mobile objects current location. It uses a weighed graph technique to identify nodes from which data can be collected efficiently by the mobile object discarding the rest. The proposed algorithm computes the collection area using Voronoi Diagrams and Delaunay triangle. We validate the proposed algorithm by simulating the algorithm over a Bluetooth based sensor network. We also evaluate the algorithms efficiency to compute the coverage area by changing the mobile objects context parameters.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2008.
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-32799DOI: 10.1109/NTMS.2008.ECP.35Scopus ID: 58049181673Local ID: 765e6be0-e7d6-11dd-a3ed-000ea68e967bISBN: 978-1-424-43547-0 (print)OAI: oai:DiVA.org:ltu-32799DiVA, id: diva2:1006033
Conference
International Conference on New Technologies, Mobility and Security : 05/11/2008 - 07/11/2008
Note
Godkänd; 2008; 20090121 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-06-11Bibliographically approved

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Zaslavsky, ArkadyDelsing, Jerker

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CiteExportLink to record
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  • apa
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Output format
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