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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 3, Pages 1,341-1,361, DOI: https://doi.org/10.21307/ijssis-2017-921
License : (CC BY-NC-ND 4.0)
Received Date : 15-March-2016 / Accepted: 10-July-2016 / Published Online: 01-September-2016
With the foundation of the video probabilistic sensing model that sensing direction is
steerable, the study on path coverage enhancement algorithm for video sensor networks has been
improved, analysis the position of effective center of mass in the sensor’s model, the network
calculates the gravitation between the target track points and the trace nodes, and the repulsive
force between both trace nodes of the target track points, then the trace node adjusts its sense
direction, make the probability of the target track points which is perceived by the sensor network
equals or exceeds the perception threshold. The simulation result shows that, this improved
algorithm has make further improvement on the perception of the target which is move in the
coverage area, it uses more fewer directional video nodes, but the video sensor networks is fully and
high effectively covering the target trajectory.
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