Dolfus, Kirsten; Braun, Torsten (2010). An Evaluation of Compression Schemes for Wireless Networks. In: International Congress on Ultra Modern Telecommunications and Control Systems, Moscow, Russia (pp. 1183-1188). IEEE 10.1109/ICUMT.2010.5676532
Full text not available from this repository.Data gathering, either for event recognition or for monitoring applications is the primary intention for sensor network deployments. In many cases, data is acquired periodically and autonomously, and simply logged onto secondary storage (e.g. flash memory) either for delayed offline analysis or for on demand burst transfer. Moreover, operational data such as connectivity information, node and network state is typically kept as well. Naturally, measurement and/or connectivity logging comes at a cost. Space for doing so is limited. Finding a good representative model for the data and providing clever coding of information, thus data compression, may be a means to use the available space to its best. In this paper, we explore the design space for data compression for wireless sensor and mesh networks by profiling common, publicly available algorithms. Several goals such as a low overhead in terms of utilized memory and compression time as well as a decent compression ratio have to be well balanced in order to find a simple, yet effective compression scheme.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS) 08 Faculty of Science > Institute of Computer Science (INF) |
UniBE Contributor: |
Dolfus, Kirsten, Braun, Torsten |
ISSN: |
2157-0221 |
ISBN: |
978-1-4244-7285-7 |
Publisher: |
IEEE |
Language: |
English |
Submitter: |
Dimitrios Xenakis |
Date Deposited: |
04 Oct 2013 14:17 |
Last Modified: |
05 Dec 2022 14:04 |
Publisher DOI: |
10.1109/ICUMT.2010.5676532 |
URI: |
https://boris.unibe.ch/id/eprint/4946 (FactScience: 209602) |