Mobile Ad hoc Network Delay Tomography

The internal link performance inference is an increasingly important role in evaluating network. In this paper, we explore the use of end-to-end unicast traffic measurements, which consist of back-to-back packets sent from a sender to pairs of receivers, to estimate the delay probability distribution of mobile ad hoc network (MANET) internal links. Since the majority of existing mobility models for MANET do not provide realistic movement scenarios, we propose a novel mobility model based on circle movement. It can be applied to military patrol or search and rescue activities. Using this model, we can infer the stable topology within the identifiable time slot. We then extend the exiting inference algorithm of delay probability distribution in wired network for MANET delay tomography. NS2 simulations with different network scenarios validate the proposed models and inference arithmetic.