Paper Info
Title
Uavs Versus Pirates: A Pheromone-Based Swarm Monitoring Method
Abstract
As piracy presents great threats to maritime security, unmanned aerial vehicle (UAV) swarm monitoring is becoming an attractive countermeasure. Conventional sweep monitoring method provides balanced coverage but cannot adapt to variable situations, such as the return of IJAN's for refueling. This paper proposes a pheromone-based method for IJAV swarm anti-piracy monitoring. In this method, the environment is modeled by a pheromone map, and the motion of IJAN's is guided by the strength of pheromones. A ship-centered convening mechanism is proposed to increase the chance of finding pirates by taking the interactions between pirates and merchant ships into account. A prediction-reservation mechanism is proposed to improve the deficiencies of the implicit intention propagation mechanism when the ship-centered convening mechanism is used. Simulation experiments are conducted to study the effectiveness of the proposed method. Results show that the proposed method reduces the success rate of pirate attack by 8% at most compared to the sweep method, and that the prediction-reservation mechanism performs better than the implicit intention propagation mechanism, especially with large number of IJAVs.
Year
DOI
Venue
2018
10.1109/ROBIO.2018.8665067
2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO)
Field
DocType
Citations 
Countermeasure,Swarm behaviour,Biomimetics,Maritime security,Real-time computing,Control engineering,Pheromone,Engineering,Robot
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ruiwen Zhang100.34
Tom Holvoet21333114.25
Bifeng Song3139.70
Yang Pei400.68