Title :
Notice of Retraction
Stochastic event capture using single robot moving along a certain track
Author :
Xiannuan Liang ; Yang Xiao ; Nanxiang Li
Author_Institution :
Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL, USA
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, we built a stochastic model that analyzes the intrusion detection quality achieved by a single moving sensor or robot moving along a certain track, based on velocity and mobility pattern. We consider the mode of intrusion events defined as follows: intrusions arrive at random points in the field of interest and fade away according to arrival and departure time distributions. In order to compare the results, two detection scenarios are studied: the robot detection scenario and the radar detection scenario. In the robot detection scenario, a robot is set to move periodically along a certain routine at a constant speed. In the radar detection scenario, radar is rotated at a constant speed in a clockwise/anti-clockwise direction. An intrusion is said to be captured if it is sensed by the moving robot or radar before it fades away.
Keywords :
radar detection; robots; security of data; sensors; stochastic processes; anti clockwise direction; clockwise direction; departure time distributions; intrusion detection quality; radar detection scenario; robot detection scenario; single moving sensor; single robot moving certain track; stochastic event capture; velocity mobility pattern; Clocks; Computer science; Event detection; Exponential distribution; Mobile computing; Mobile robots; Radar detection; Radar tracking; Robot sensing systems; Stochastic processes; Intrusion; Mobile Sensors; Radar; Robot;
Conference_Titel :
Mobile Ad-hoc and Sensor Networks, 2009. MSN '09. 5th International Conference on
Conference_Location :
Fujian
Print_ISBN :
978-1-4244-5468-6
DOI :
10.1109/MSN.2009.40