DocumentCode :
2785308
Title :
SFHC.KOM: Stateful header compression for wireless sensor networks
Author :
Reinhardt, Andreas ; Mogre, Parag S ; Koenig, Tobias ; Steinmetz, Ralf
Author_Institution :
Multimedia Commun. Lab., Tech. Univ. Darmstadt, Darmstadt, Germany
fYear :
2010
fDate :
10-14 Oct. 2010
Firstpage :
598
Lastpage :
605
Abstract :
Nodes in wireless sensor networks are generally confined in the energy budget available for their operation, hence energy-aware application design is mandatory to achieve long node lifetimes. Radio transmissions represent an inherent, but energetically costly characteristic of sensor networking. Significant reductions in the overall energy consumption can thus be achieved by reducing both the number of packet transmissions as well as the corresponding packet lengths. Data compression is a viable approach to conserve energy by increasing the information density within packets and thus transmitting shorter packets on the radio. We investigate the compression of packet headers in wireless sensor networks in this paper. Inspired by technologies used in the Internet and characteristics stemming from existing sensor network deployments, we propose a novel scheme for stateful header compression. Our scheme is specifically designed to consider both static and mobile leaf nodes, and can thus be applied in a majority of sensor network deployments. We analyze our scheme in different settings and show that its application leads to reductions of the required transmission energy and thus extended node lifetimes.
Keywords :
packet radio networks; wireless sensor networks; SFHC.KOM; energy-aware application design; packet transmissions; radio transmissions; stateful header compression; wireless sensor networks; Compression algorithms; Context; Encoding; Energy consumption; IP networks; Mobile communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks (LCN), 2010 IEEE 35th Conference on
Conference_Location :
Denver, CO
ISSN :
0742-1303
Print_ISBN :
978-1-4244-8387-7
Type :
conf
DOI :
10.1109/LCN.2010.5735779
Filename :
5735779
Link To Document :
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