A Novel Learning Based Solution for Efficient Data Transport in Heterogeneous Wireless Networks

Abstract

There has been a spectacular growth in the use of wireless networks in recent times and consequently, adapting TCP to the wireless networks is a hot topic of current research. However, most of the existing works proposed for this problem have been designed for specific wireless networks, or they necessitate changes at either the receiver, at the intermediate nodes, or at both, because of which their deployment become very difficult. Therefore, here we propose a TCP variant which works over both multi-hop ad hoc wireless networks as well as single-hop wireless networks. We use a learning based method to dynamically change the congestion window size according to the network conditions. Our protocol does not rely on any explicit feedback from the network and requires only sender-side modifications. Through extensive simulations we show that our protocol achieves the performance improvement, in terms of goodput, packet loss, and fairness to the competing flows.