Design of optimized V-detector algorithm with higher detection efficiency

V-detector algorithm is unable to guarantee a large coverage for generated detector.The shortcoming usually results in a large number of detectors in the detector sets and low detection efficiency.An optimized V-detector algorithm was proposed.In the optimized algorithm,a detector was generated on the basis of a randomly chosen uncovered non-self sample,and the detector generation process ensured the detector covered the non-self sample and extended the detector's coverage by determining the detector's center and detection radius reasonably.Meanwhile,hypothesis testing process was used to estimate the coverage of a detector set,and hypothesis testing process was integrated with detector generation process to ensure the generated detector set fully covered the non-self region,and reduced the number of detectors in the detector set.Experimental results indicate that compared with the V-detector algorithm,the optimized algorithm generates a much smaller detector set and increases the detection efficiency.