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Wireless Body Area Network over Software Defined Radio (SDR) Platform is the solution towards providing ubiquitous wireless health monitoring of patients over Internet. In this paper, a system is designed to enable ECG signals to be compressed and communicated to remote server at regular intervals over SDR platform comprised of Wireless Open Access Research Platform boards. To enable this, a TCP/IP based client-server model is proposed which allows data to be sent whenever the SDR channel is free. Test-bed analysis has shown that signal compression through Discrete Wavelet Transform by choosing the correct filter can provide significant 83.8% energy efficiency, without much data loss. This work provides the framework and highlights the open issues to develop the SDR platform into a Cognitive Radio module.

Real-time VoIP communication demands strong QoS assurance for its efficient performance. Ensuring high quality of VoIP transmission in spectrally congested scenarios requires deployment of VoIP applications in intelligent Cognitive Radio Networks (CRN) that aim to increase spectrum utilization through its opportunistic mode of communication. However, complexities inherent in unmodified CRN make it unworthy of hosting VoIP applications. The objective of this work is to successfully implement VoIP service in CRN by optimal selection of transmission time so that adequate QoS is ensured for VoIP users. Considering imperfect spectrum sensing, an algorithm is proposed to select the most efficient transmission duration for VoIP communication by taking into account relevant parameters in CRN. Mathematical analysis followed by simulation results provides clear testimony to the fact that VoIP call quality is enhanced after implementing the proposed algorithm.