Probabilistic Track Coverage in Cooperative Sensor Networks

Silvia Ferrari, Guoxian Zhang, Thomas A Wettergren
2010 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
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
more » ... 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.
doi:10.1109/tsmcb.2010.2041449 pmid:20236903 fatcat:tod7wboelreyldqcehc4d3uhdu