摘要：The world has become sophisticated and man started depending upon various things in a large part of everyday life to enhance daily way of living which includes the most useful gadgets. These resources have made life easier, but there is a lot of concern over the possible health risks due to these radiations. Considering the objectives of Green Mobile Computing, this work proposes to dynamically allocate BTS’s transmission power level according to the requirement of number of users in a particular radio cell. The number of users is more during the daytime when compared to night time, so the power level can be dynamically reduced to overcome the hazardous effects of radiation. A scheduling algorithm for switching the transmission power level at BTS, based on the output derived from neural network, which is trained with historical data collected from local authorities to learn the population pattern and assign corresponding power levels. The scheduling algorithm with Artificial Neural Network (ANN) gives reduced power consumption, low interference and shortened radiation exposure.
关键词：Green Mobile Computing; EM pollution; BTS; Scheduling;
PoP.
