Anti-Monitoring Algorithm for Target Traversing Through Anisotropic Sensory Networks

Abstract

Research on the anti-monitoring problem of mobile object in the heterogeneous sensory field, a new Exposure model is proposed, which can be used to estimate the risk approximately when a mobile object is moving along a path to traverse the sensory field deployed with anisotropic sensor nodes. And based on the newly proposed Exposure model, a novel decision algorithm is designed by combing with the Anisotropic Voronoi Tessellation schemes, which guarantee the mobile object can select a suitable path with approximately minimal risk to travel across the anisotropic sensory field. Theoretical analyses and simulation results show that, the new algorithm has good anti-monitoring performance, and requires only that the mobile object shall know the local information in its detection radius, so it is distributed and practical also.