CS-based reliable transmission strategy for Wireless Body Area Networks

Wireless Body Area Networks (WBAN) is a promising type of networks that mainly targets at applications in ubiquitous communication and e-Health services. To support long-term pervasive services, both reliability and energy efficiency are required in WBAN communications. In this paper, by adopting compressive sensing (CS) technology, a reliable transmission strategy for WBANs is proposed to alleviate the effect of packet loss and improve the data transmission reliability. Considering the transmission model with both direct link and relay link, two relay policies are present and the corresponding fusion rules are designed to merge the data from both links for better reconstruciton. A reconstruction algorithm, which exploits both block sparsity and temporal correlation, is proposed to reconstructed the merged data. The simulation results demonstrate the effectiveness of the proposed transmission strategy.