Abstract: Embodiments of the present invention relate to methods and apparatus for a dynamic reconfigurable battery system for supporting power-aware computing. The present invention allows each cell of a multi-cell battery to be charged and/or discharged separately depending on an external load that is applied to the system. The present invention, the dynamic reconfigurable multi-cell battery system, may support dynamic voltage scaling (DVS) by providing fine-tuned voltage levels to satisfy the various power requirements imposed by different system components. Another embodiment of the present invention includes taking advantage of power requirement diversity in a power-aware computing platform to fully utilize a battery's capacity. Also, this system is adaptable to isolate fully discharged or failed cells from other functioning cells. The dynamic reconfigurable design of the present invention provides a solution for an emergent power supply for mission-critical tasks.

Abstract: The present invention relates to a method for predicting an optimum transmission frame size in a wireless computer network. The method comprises assessing transmission channel quality in the network, calculating an optimum length for the transmission frame, adjusting the length of the transmission frame to the predicted optimum length, transmitting the frame at its adjusted length and assessing the quality of the transmission of the frame. Prediction of the optimum frame size employs a Kalman filter which employs the parameters of bit error rate and random processing noise in the calculation of the predicted optimum frame length.