Search Strategies for Multiple UAV Search and Destroy Missions

• Type: Article in International Scientific Journal
• Date: 2011

Authors

George, J (Author) Other; Sujit, PB (Author) Other; João Tasso Sousa (Author) FEUP

Journal

Title: Journal of Intelligent and Robotic Systems: Theory and Applications

Vol. 61

Pages: 355-367

ISSN: 0921-0296

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 44 Citations

Scopus - 89 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Control engineering > Robótica Robotics

Other information

Authenticus ID: P-002-TSE

DOI: 10.1007/s10846-010-9486-8

Abstract (EN): Multiple UAVs are deployed to carry out a search and destroy mission in a bounded region. The UAVs have limited sensor range and can carry limited resources which reduce with use. The UAVs perform a search task to detect targets. When a target is detected which requires different type and quantities of resources to completely destroy, then a team of UAVs called as a coalition is formed to attack the target. The coalition members have to modify their route to attack the target, in the process, the search task is affected, as search and destroy tasks are coupled. The performance of the mission is a function of the search and the task allocation strategies. Therefore, for a given task allocation strategy, we need to devise search strategies that are efficient. In this paper, we propose three different search strategies namely; random search strategy, lanes based search strategy and grid based search strategy and analyze their performance through Monte-Carlo simulations. The results show that the grid based search strategy performs the best but with high information overhead.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13