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Abstract-The advent of Bluetooth wireless technology makes it possible to transmit real-time audio in mobile devices. Bluetooth is cost-efficient and power-efficient, but it is not suitable for traditional audio encoding and real-time streaming due to limited bandwidth, high degree of error rates, and the time-varying nature of the radio link. Therefore, audio streaming over Bluetooth poses problems such as guzzling of both power and bandwidth. In order to overcome the above mentioned problems, an algorithm is proposed in this work to optimize the audio stream from the source to the sink by estimating the proximity between them. The optimization is achieved by adjusting the bit rate of the audio stream thus conserving power. We considered carefully various Bluetooth signal parameters and the most suitable parameter for estimating the proximity has been determined experimentally. The experiments were carried out using Class II BS003 Bluesoleil dongle. This work will enable the Bluetooth users to perform a seamless and optimized streaming of MP3 stereo audio data.

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The IEEE 802.15.4 medium access control (MAC) is a widely used protocol for low rate wireless personal area network because of its vital features, such as low power consumption, low data rate, short-range and real-time communications. Its unique guaranteed time slot (GTS) mechanism makes it an appropriate communication protocol in healthcare monitoring and other critical applications. Nevertheless, this GTS mechanism has few a constraints. One of the key limitations is the scarcity of GTS slots and the static nature of the GTS allocation mechanism. In this paper, we propose a scheme called the Finest Superframe interval and GTS provision scheme (FSGPS) that aims to reduce the limitations of IEEE 802.15.4 MAC to make it more suitable for time-sensitive services. To address the impacts of the quasi-static nature of WBAN, we in this paper consider temporal path loss variation in our simulations that accounts for real-time variation associated with the nodes. Through extensive simulations, we show that our proposed FSGPS outperforms IEEE 802.15.4 MAC in respect of several key performance metrics.