Energy Efficient Channel Coding of Physiological Signals in Wireless Body Area Networks
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An energy-efficient Forward Error Correction code (FEC), which is presented in this article, is designed specifically for wireless body area network (WBAN) with a focus towards pervasive healthcare applications. WBAN consists of wireless sensor nodes attached to the human body to monitor vital signs such as body temperature, activity or heart-rate. The network adopts a master-slave architecture, where the body- worn slave node periodically sends sensor readings to a central master node. Similar to other wireless sensor network protocols, one of the primary design goals is to achieve low power consumption. Thus, for the wireless communication between sensor nodes on the body, no FEC is normally applied and redundancy is avoided. When error occurs, in noisy wireless channels, the entire message is retransmitted. We designed a channel coding mechanism based on a Residue Number System (RNS) which can convert a binary weighted value to smaller independent residues. The residue to binary converter is the main energy consuming part of RNS. In this research, the reverse converter for a five-moduli set is presented based on the Mixed Radix Conversion method. This converter uses the formulated multiplicative inverse values in order to simplify the calculations and the required hardware for its implementation. The hardware requirements and conversion time of the proposed reverse convertor are calculated and compared with the other moduli set to illustrate its efficiency.
International Journal of Computer Applications
© 2015 International Journal of Computer Applications. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Coding and Information Theory