Energy Efficient Throughput Maximization for Wireless Networks Using Piece Wise Linear Approximation
Indian Journal of Science and Technology
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
... 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. 684 mobile adhoc networks including expansion of multiple access procedures that exploit advanced physical layer technologies like MIMO, OFDM, and intrusion dissolution, examination of the essential limits of mobile ad hoc network capacity, practical depiction of achievable throughputs taking into account network overheads. To increase the life time of the wireless network, we should manage the energy carefully, because each node contains some unit of non-rechargeable battery power 1 . In this Y. Shi et.al discussed about the cooperation between the nodes, which increases the reliability of communication and reduces the energy required for the communication and also reduces the latency. Here the conservative smallest route in a via different node sustain more delay with more power consumption is in the order of seventy percentage, when related to the projected cooperative routing solution by Y. Shi et al.