Redundant coverage for noise reduction in dynamic sensor networks
Simone Gabriele, Paolo Di Giamberardino · 2008
Abstract: The paper deals with the problem of computing trajectories for a network of mobile sensors in order to maximize coverage within a fixed time interval avoiding collisions and maintaining communication network connectivity. A formulation of the field coverage problem is given in terms of optimal control and it is shown how the problem of a redundant coverage, useful for simultaneous multiple measurements and then noise reduction, can be handled within the same formulation. The redundancy is formally faced in terms of K-coverage, such that covering each point of the workspace with at least K different sensors. Global centralized solutions are computed after discretization and simulation results are reported to show the effects of the proposed approach.