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2010 Chinese Control and Decision Conference

作者： Yunfei Niu,Li Peng,Wei Zhang School of Communication and Control Engineering,Jiangnan University,Wuxi 214122

＜正＞A Self-deployment algorithm with Two-step potential field for the directional sensing model of Dynamic Vision Sensor Networks（DVSNs） is proposed in the *** first,the nodes are deployed randomly,and uniformly distributed in the monitoring area with virtual potential field at the ***,adjust the direction of sensor nodes to make the centroid points distribute uniformly at the second step of virtual potential *** two-step virtual potential field,the sensing overlapping regions and coverage holes can be *** 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.

关键词： virtual potential field DVSNs nodes deployment

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Self-organizing strategy design and validation forintegrated air-ground detection swarm

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Journal of Systems Engineering and Electronics 2016年第5期27卷 1018-1027页

作者： Meiyan An Zhaokui Wang Yulin Zhang School of Aerospace Engineering Tsinghua UniversityBeijing 100084China Astronaut Center of China Beijing 100193China

A self-organized integrated air-ground detection swarmis tentatively applied to achieve reentry vehicle landing detection,such as searching and rescuing a manned spaceship. The detectionswarm consists of multiple unmanned aerial vehicles （UAVs）and unmanned ground vehicles （UGVs）. The UAVs can accessa detected object quickly for high mobility, while the UGVs cancomprehensively investigate the object due to the variety of carriedequipment. In addition, the integrated air-ground detectionswarm is capable of detecting from the ground and the air *** accomplish the coordination of the UGVs andUAVs, they are all regarded as individuals of the artificial *** individuals make control decisions independently of othersbased on the self-organizing strategy. The overall requirements forthe detection swarm are analyzed, and the theoretical model ofthe self-organizing strategy based on a combined individual andenvironmental virtual function is established. The numerical investigationproves that the self-organizing strategy is suitable andscalable to control the detection swarm. To further inspect the engineeringreliability, an experiment set is established in laboratory,and the experimental demonstration shows that the self-organizingstrategy drives the detection swarm forming a close range and multiangularsurveillance configuration of a landing spot.

关键词： artificial swarm virtual potential field self-organizing,integrated air-ground detection swarm.

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