Optimization of Mobile Ad Hoc Network DSDV and OLSR Using Evolutionary Algorithm for Elearning induction mode

Abstract

The e-learning induction model that is well informed by the theory and practice is a sure way of being responsive to the dynamism of educational technologies. Common problem that must be taken as consideration and must be resolved in urban areas and the organization is an efficient message delivery in (MANET) Mobile Ad hoc Network. To get good and efficient communication, an algorithm must pay attention to several aspects such as the density of neighbouring node, shape and network size, channel priority level and used of message. Some previous studies attempted to propose solutions for delivering messages, but finding the optimal problem solution that will be use is very difficult.  In our research, we sugested an optimization on MANET by using an EA. The algorithm will provide several solutions to the problem of sending messages to MANET. Our goal is able to determine the optimal communication strategy for each node in network. By using (EA) evolutionary algorithm in  (n-2) network simulator, we found that result is promising for message delivery optimization to destination for using in system Elearning model network

Keywords: MANET, evolutionary algorithm, message delivery optimization.