@inproceedings{5841c418ab3940ac8e97e0e446208ee3,
title = "Implementation of source and channel coding for power reduction in medical application wireless sensor network",
abstract = "This paper examines the system level power reduction of Wireless Sensor Nodes in medical applications by the use of source and channel coding. The reliability and energy savings of the serially concatenated Huffman and Reed-Solomon codes is presented, and the scheme with regards to medical applications is discussed. The results show that it is possible to have BER and compression gains in the system, but also show that computational time of purely software oriented implementations are not optimal.",
keywords = "Huffman source coding, Medical application, Power reduction, Reed-solomon channel coding, Wireless sensor network",
author = "\{Mc Sweeney\}, Richard and Christian Spagnol and Emanuel Popovici and Luigi Giancardi",
year = "2009",
doi = "10.1109/SENSORCOMM.2009.48",
language = "English",
isbn = "9780769536699",
series = "Proceedings - 2009 3rd International Conference on Sensor Technologies and Applications, SENSORCOMM 2009",
pages = "271--276",
booktitle = "Proceedings - 2009 3rd International Conference on Sensor Technologies and Applications, SENSORCOMM 2009",
note = "2009 3rd International Conference on Sensor Technologies and Applications, SENSORCOMM 2009 ; Conference date: 18-06-2009 Through 23-06-2009",
}