DocumentCode :
606561
Title :
Pre-allocating code mappings for energy-efficient data encoding in Wireless Sensor Networks
Author :
Reinhardt, Andreas ; Christin, Delphine ; Steinmetz, Ralf
Author_Institution :
Multimedia Commun. Lab., Tech. Univ., Darmstadt, Germany
fYear :
2013
fDate :
18-22 March 2013
Firstpage :
578
Lastpage :
583
Abstract :
Energy is a scarce resource on battery-powered wireless sensor nodes, and wireless communication represents the major consumer of electric energy on most current platforms. Reducing the number and size of radio transmissions thus represents a viable approach to save energy and extend a node´s operational time. In the domain of pervasive computing, where a periodic reporting of data (e.g., a user´s vital parameters) is often being used, packets cannot always be simply omitted from transmission. Even if the contained data have not changed, these periodically transmitted message double as beacons to indicate that the sensor node has not run out of energy. Hence, reducing the sizes of transmitted messages remains the only available solution to achieve energy savings in such sensor networks. In this paper, we show how precomputed codebooks can be used to encode messages in an energy-efficient way and thus reduce the size of the transmitted packets. We present how we extract these code mappings from real-world data, and describe how packets are encoded prior to their transmission in order to reduce the incurred energy demand. We practically assess the energy demand on TelosB nodes and prove that up to 17.2% of energy can be saved when our approach is applied.
Keywords :
encoding; ubiquitous computing; wireless sensor networks; TelosB nodes; battery-powered wireless sensor nodes; code mappings; electric energy; energy demand; energy-efficient data encoding; message encoding; pervasive computing; precomputed codebooks; radio transmissions; transmitted messages; transmitted packets; wireless communication; wireless sensor networks; Encoding; Entropy; Humidity; Power demand; Temperature distribution; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-5075-4
Electronic_ISBN :
978-1-4673-5076-1
Type :
conf
DOI :
10.1109/PerComW.2013.6529562
Filename :
6529562
Link To Document :
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