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Author Sujit, P. B. ♦ Sinha, A. ♦ Ghose, D.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Sensor Range ♦ Multiple Uav Search ♦ Limited Sensor Range ♦ Attack Mission ♦ Battle Field ♦ Task Al-location Becomes ♦ Team Theory ♦ Uavs Sensor ♦ Target Status ♦ Task Allocation ♦ Team Theoretic Approach ♦ Battle Field Scenario ♦ Greedy Strategy ♦ Team Theoretic Strategy ♦ Multi-uav Task Allocation ♦ Different Target Task
Description A multiple UAV search and attack mission in a battle field involves allocating the UAVs to different target tasks efficiently. The task al-location becomes difficult when there is no communication among the UAVs and the UAVs sensors have limited range to detect the targets and neighbouring UAVs, and assess target status. In this report, we propose a team theoretic approach to efficiently allocate UAVs to the targets with the constraint that UAVs do not communicate among themselves and have limited sensor range. We study the performance of team theoretic approach for task allocation on a battle field scenario. The performance obtained through team theory is compared with two other methods, namely, limited sensor range but with communication among all the UAVs, and greedy strategy with limited sensor range and no communication. It is found that the team theoretic strategy performs the best even though it assumes limited sensor range and no communication. 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2005-01-01
Publisher Institution In Proc. of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005, pages 1497 – 1502