Sensor coverage maximization with potential fields

This paper proposes a novel algorithm to deploy mobile sensors for maximization of sensing area coverage. The algorithm presented is distributed and robust to errors. Our method is dynamic and based on potential fields. Although some methods using potential fields have been proposed previously, the approach we take here is different in constructing the potential field. In particular, we utilize an entropy-based potential function and use the Newton´s iteration to determine the sensor positions. Simulations show that our method is more robust to errors, and less likely to be trapped in local minima compared to some previously proposed methods.