A molecular-inspired approach for predicting topology change in directional mobile wireless networks

The control of topologies and the management of mobility can enable assured end-to-end connectivity and coverage in next generation mobile wireless networks. Previously we have investigated how analogies from physics and biology aid in control and prediction in backbones in hierarchical heterogeneous wireless networks (HHWNs). In this molecular-inspired approach, we employ molecular-based systems to investigate the prediction of link degradation leading to a self-diagnosing ability within the network in the subsequent evolutions of its (re)configuration or topology. By modeling the network as a set of convex (connected) and non-convex (non-connected) springs the network entity can be thought of as a giant molecule. The analysis of the network evolution will follow molecular dynamics and the contribution of each backbone node´s movement can be defined as a consequence (positive or negative) on the overall health of the network and its available connectivity. The preliminary results show promise towards the assessment of link degradation and network evolution as it relates to end-to-end broadband connectivity (topology).