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Efficient Power Management in Wireless Communication

R.Saranya, Mrs.J.Meena

Data transmission in point to point wireless communication degrades the energy efficiency. One of the primary solutions to overcome this problem is to minimize the power consumption. Here, the delay sensitive data (e.g., multimedia data) are transmitted over a wireless channel. Delay sensitive communication system operates in dynamic environment conditions. A new Q-learning algorithm which dynamically adapts to the environment to achieve power management .The Q-learning based power management is more flexible and highly adaptive. It is a simple update step performed at the end of each time slot. The dynamic power management is to reduce power consumption without affecting the overall performance of the device. But only the disadvantage of this algorithm is holding cost and packet overflows are increased. In order to reduce the cost and energy consumption the transmission scheduling algorithm is proposed. This type of algorithm schedules the amount of data for desired users with a view of minimizing the energy consumption of a wireless device and prolonging its battery lifetime.