CNCS Center for Nonlinear and Complex Systems
   Search Help Login pdf version printable version

Publications [#289478] of Silvia Ferrari

Papers Published

  1. Ferrari, S; Zhang, G; Wettergren, TA, Probabilistic track coverage in cooperative sensor networks., Ieee Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society, vol. 40 no. 6 (December, 2010), pp. 1492-1504 [20236903], [doi]
    (last updated on 2021/09/05)

    Abstract:
    The quality of service of a network performing cooperative track detection is represented by the probability of obtaining multiple elementary detections over time along a target track. Recently, two different lines of research, namely, distributed-search theory and geometric transversals, have been used in the literature for deriving the probability of track detection as a function of random and deterministic sensors' positions, respectively. In this paper, we prove that these two approaches are equivalent under the same problem formulation. Also, we present a new performance function that is derived by extending the geometric-transversal approach to the case of random sensors' positions using Poisson flats. As a result, a unified approach for addressing track detection in both deterministic and probabilistic sensor networks is obtained. The new performance function is validated through numerical simulations and is shown to bring about considerable computational savings for both deterministic and probabilistic sensor networks.