Comparison of local lossless compression algorithms for Wireless Sensor Networks

Author:

Campobello G.,Giordano O.,Segreto A.,Serrano S.ORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference23 articles.

1. AC: Arithmetic Codec. Available: 〈http://sourceforge.net/projects/aricom/〉 [rev 1.5, Online].

2. A survey on sensor networks;Akyildiz;IEEE Commun Mag,2002

3. Energy-aware lossless data compression;Barr;ACM Trans Comput Syst,2006

4. Bzip2 Home Page. Available: 〈http://www.bzip.org〉 [ver 1.0.6, Online].

5. Campobello G, et al. Trade-offs between energy saving and reliability in low duty cycle wireless sensor networks using a packet splitting forwarding technique. EURASIP J Wirel Commun Netw 2010;2010 Article ID 932345, 11 pages, 10.1155/2010/932345

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