Energy Efficient Throughput Maximization for Wireless Networks Using Piece Wise Linear Approximation

The amount of power requirement is a main issue in wireless network nodes. We recommend a new piece-wise linear approximation to convert nonlinearities into linear restrictions. In this paper, we considered the energy required for the battery, which is most important. We proposed that this issue can be overcome by a mixed-integer nonlinear program (MINLP). To make our concept as energy efficient, we characterize its scientific expressions, then suggest a new piece-wise linear approximation which will give prime solution. This method allows converting the nonlinearities into linear constraints. In this paper both network throughput and energy requirement were optimized through a multi criteria framework which is optimized, i.e., by optimizing the network output by reducing the maximum power consumption. In telecommunication the source coding, channel coding, and finally the, line coding are at the transmitting point to generate the baseband signal. In some systems they use modulation to multiplex these signal to generate many baseband signals. During the active wireless link for communication, the energy consumption is in the form of two thins 1. Energy required for the purpose of broad casting and the other is energy required for the instruments involved during the communication. The utilization of power depends upon the whether the link is active or not. From the above consideration our work is vary from the existing work in the same area. The energy used by the LCD for the existing is always used and hence the usage of power for one node is more when compared to proposed system.