Supporting Consumer Mobility Using Proactive Caching in Named Data Networks
Hesham Farahat, Hossam S. Hassanein · 2016
Mobility management in Named Data Networks (NDNs) is one of the main challenges of seamless operation in the future Internet. Techniques used in existing proposals for Consumer mobility are either reactive or semi-proactive, which try to reduce data access time, but yet retransmissions are required. We propose a fully proactive optimal scheme (OpCCMob) that adopts location and data patterns forecasts to proactively support Consumers movements in the network. In essence, the scheme will optimally cache the predicted content close to the Consumer such that it will be satisfied before handover and avoid Interests retransmissions. A mathematical formulation of the problem is provided such that it bounds the overhead on the network and minimizes the delay of fetching the data. OpCCMob is implemented in ndnSIM and used as a benchmark to evaluate mainstream NDN mobility schemes under various practical scenarios. The results of different experiments show that the delay can be maintained during Consumers movements using control messages as an overhead. Moreover, a sensitivity analysis is conducted to measure the robustness of proactive schemes during imperfect predictions.