Data fusion latency in Internet-based sensor networks

Multi-sensor data fusion latency in Internet-based sensor applications is analyzed. The probabilistic estimation of periodic backlog (PEPB) technique presented takes into account the nature of sensor data generation and the time-scale invariant burstiness (i.e., self-similarity) of network traffic. The fusion application considered requires synchronizing a set of correlated data before fusion processing can begin. PEPB is used first to model the single-hop delay. Analysis is then extended to a network with multi-hop communication and multiple sensor nodes. Comparison with simulation-based results demonstrates the accuracy of the model.