Title :
Implementation of Source and Channel Coding for Power Reduction in Medical Application Wireless Sensor Network
Author :
McSweeney, Richard ; Spagnol, Christian ; Popovici, Emanuel ; Giancardi, Luigi
Author_Institution :
Dept. of Microelectron. Eng., Univ. Coll. Cork, Cork, Ireland
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 codes; Reed-Solomon codes; biomedical communication; channel coding; concatenated codes; source coding; wireless sensor networks; BER; Reed-Solomon codes; bit error rate; channel coding; energy savings; medical application; reliability; serially concatenated Huffman codes; source coding; system level power reduction; wireless sensor network; Biomedical engineering; Biomedical equipment; Channel coding; Energy consumption; Medical services; Power system reliability; Reed-Solomon codes; Sensor systems and applications; Source coding; Wireless sensor networks; Huffman source coding; Medical Application; Reed-Solomon channel coding; power reduction; wireless sensor network;
Conference_Titel :
Sensor Technologies and Applications, 2009. SENSORCOMM '09. Third International Conference on
Conference_Location :
Athens, Glyfada
Print_ISBN :
978-0-7695-3669-9
DOI :
10.1109/SENSORCOMM.2009.48
