Transmit power control on MANET using artificial neural networks
With the advent of the new technology, mobile communications has taken its popularity. There are already many protocols for routing information. But application of those protocols is not efficient for the mobile technology due to device limitations on power and memory. Several researches in this field have suggested that that the knowledge of the location of a mobile terminal can be used in order to reduce the cognitive burden on the users in context-aware systems, also it is crucial information for routing in ad-hoc networks and for optimizing the topology for minimizing the energy consumption of the nodes. This research focuses on the transmit power control (TPC) of MANET (Mobile Ad-hoc Networks). The primary focus of this research is to address the open issue on TPC proposed in  by incorporating a power efficient design using the existing IEEE 802.11h standards. A new design is proposed by using computational intelligence namely artificial neural networks to address the non linear issues of mobility by tracking the location of mobile nodes to make TPC more efficient.
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science