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Distributed information storage and collection for WSNs
RWTH Aachen University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
RWTH Aachen University.
2007 (English)In: Proceedings, 4th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, Piscataway, NJ: IEEE Communications Society, 2007Conference paper, Published paper (Refereed)
Abstract [en]

Distributed data storage is an important component of wireless sensor networks, which protects the mission critical information from unexpected node failures or malicious destruction of parts of the network. In this paper we present DISC, a protocol for distributed information storage and collection. The two major mechanisms in DISC which make our solution distinct from the related approaches are probabilistic choice of storing nodes and a search engine based on the usage of Bloom filters. In comparison to the deterministic choice of the backup node, the random selection strategy makes it virtually impossible for an attacker to determine and destroy the exact node keeping a particular piece of information. The usage of Bloom filters in the information search engine makes the navigation to a specific data fast and efficient. We show that with DISC the amount of recovered information is more than two times higher than that in deterministic storage schemes.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2007.
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-40141DOI: 10.1109/MOBHOC.2007.4428613Local ID: f22d86c0-6dcf-11dc-89fb-000ea68e967bISBN: 1-4244-1455-5 (print)OAI: oai:DiVA.org:ltu-40141DiVA: diva2:1013664
Conference
IEEE International Conference on Mobile Ad-hoc and Sensor Systems : 08/10/2007 - 11/10/2007
Projects
EU FP6 project UbiSec&Sens: Ubiquitous Security and Sensing in the European Homeland
Note
Godkänd; 2007; 20070928 (eao)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-01-14Bibliographically approved

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Publisher's full texthttp://cnd.iit.cnr.it/mass2007/

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CiteExportLink to record
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