Probability-Based Adaptive Forwarding Strategy in Named Data Networking
Haiyang Qian, Ravishankar Ravindran, Guoqiang Wang, Deep Medhi · 2013
Abstract—Forwarding strategy is an important research problem in named data networking (NDN). A probability-based adaptive forwarding (PAF) strategy is introduced in this paper. Ant colony optimization is customized to a dynamic NDN environment to compute the selection probabilities. In addition, we use a statistical model in PAF to compute timeout for the retransmission mechanism at the NDN layer. PAF also provides network operators a number of parameters to tune for different network scenarios. Simulation results show PAF can achieve load balance and is adaptive to network condition changes. I.