Abstract
A Self-deployment algorithm with Two-step Potential Field for the directional sensing model of Dynamic Vision Sensor Networks (DVSNs) is proposed in the paper. At first, the nodes are deployed randomly, and uniformly distributed in the monitoring area with virtual potential field at the first-step. Then, adjust the direction of sensor nodes to make the centroid points distribute uniformly at the second step of virtual potential field. With two-step virtual potential field, the sensing overlapping regions and coverage holes can be eliminated. The simulation results prove that the algorithm effectively increases the networks coverage and is affected little by the initial position of the nodes with strong robustness.
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