A graph theoretical approach for network coding in wireless body area networks

Recent advances in the area of wireless body area networks (WBANs) open new horizons in areas ranging from mHealth to entertainment. Reliability of communications and power consumption are paramount to widespread adoption of this technology. In this paper, we use ambulatory electroen-cephalography (EEG) monitoring in the context of WBANs and describe some network topologies and coding performance using graph theoretic techniques.