Author : Isha Sehgal and Sohan Garg

In this paper, we present the optimized routing technique for mobile ad hoc network based on the Hopfield neural network and mobile agent technology with primary goal to find an optimal route. Mobile agent technique is used to share the information of network conditions. Here, we realized the proposed routing technique through two independent methods. They are both based on the Hopfield neural network. In first method, an optimized route is selected based on multi criteria optimization in order to provide the best possible usage of resources. In second method, all routing minute to minute information is detected and shared all over the network. In this procedure, mobile agent technology has been proposed here. For optimization of the route, criteria are number of hops, link capacity and link occupancy. These criteria should use network resources as optimally as possible.

Keywords: Component; Mobile technology; Hopfield neural network; optimization

Article published in International Journal of Current Engineering and Technology, Vol.5, No.3 (June-2015)