Decentralized coding algorithm in data centric storage for wireless sensor networks

Ahmed, K and Gregory, M 2013, 'Decentralized coding algorithm in data centric storage for wireless sensor networks', in Mark A Gregory, Richard Harris, Krzysztof Pawlikowski and Rudolf Mathar (ed.) Proceedings of the 2013 Australasian Telecommunication Networks and Applications Conference (ATNAC), Christchurch, New Zealand, 20-22 November 2013, pp. 106-111.


Document type: Conference Paper
Collection: Conference Papers

Title Decentralized coding algorithm in data centric storage for wireless sensor networks
Author(s) Ahmed, K
Gregory, M
Year 2013
Conference name ATNAC Australasian Telecommunication Networks and Applications Conference
Conference location Christchurch, New Zealand
Conference dates 20-22 November 2013
Proceedings title Proceedings of the 2013 Australasian Telecommunication Networks and Applications Conference (ATNAC)
Editor(s) Mark A Gregory, Richard Harris, Krzysztof Pawlikowski and Rudolf Mathar
Publisher IEEE
Place of publication United States
Start page 106
End page 111
Total pages 6
Abstract For robust data recovery in catastrophic scenarios in wireless sensor networks, obtaining reliable storage over unreliable nodes is desirable. A distributed Data Centric Storage (DCS) system provides reliable access to data through redundancy spread over individually unreliable nodes. However, instead of using simple replication, it is possible to achieve a similar level of reliability with less redundancy by utilizing erasure encoding. In this paper, a Decentralized Distributed Erasure Coding (DDEC) algorithm is implemented in a Disk Based Data Centric Storage (DBDCS) architecture dividing the rectangular field into a matrix of storage cells (referred to as sectors) where row and column represent track (Ti ) and sector (Sj ) respectively. The acquired information is encoded into n fragments and disseminated across n nodes inside a sector so that the original source packets can be recovered from any k surviving nodes. The performance of DDEC was analyzed and found to provide an improvement over comparable approaches.
Subjects Data Communications
Wireless Communications
Keyword(s) Wireless Sensor Network
Data Centric Storage
regenerating codes
sector based distance routing
repair bandwidth
DOI - identifier 10.1109/ATNAC.2013.6705365
Copyright notice © 2013 IEEE
ISBN 9781479910816
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