Comparison between traffic load estimated and true traffic load in Mobile ad-hoc network

Mobile Ad-hoc Networking (MANET) technology allows a set of mobile users equipped with radio interfaces to discover each other and dynamically form a communication network. It uses relaying in order to reach most other nodes in a network and can have different kinds of topology. Due to the mobility this topology can change very quickly. Change in topology results in changing traffic load rates over the links in the network. In A radio network the channel resources are one of the most limiting factors, it is therefore very important that this resource is used as efficiently as possible. In this Paper we look into traffic estimation methods that are applicable in Mobile ad-hoc networks. We study existing methods and then present a traffic load estimation method based on an exponential decrease function. Furthermore, we look into two parameters; window size and gamma. We analyze and suggest fine tuning of these parameters for estimation of Poisson based traffic load. Finally, performance analysis on the basis of traffic load estimation error in percentage has been presented. This traffic estimation method based on exponential decrease function may also work for other traffic models if fine tuning of the above parameters have been made.