A self-organized search and attack algorithm for multiple unmanned aerial vehicles

Gao, Chen; Zhen, Ziyang; Gong, Huajun

doi:10.1016/j.ast.2016.03.022

Cited by 62 publications

(27 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [18], Gao et al presented a novel distributed algorithm for a team of UAVs to provide an online solution for a self-organization problem in a mission based on search and attack in a hostile environment. This problem requires solving a global optimisation problem, where the proposed distributed SAMSOA separates into a number of local optimisation problems.…”

Section: Detection Schemesmentioning

confidence: 99%

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Fotohi

2020

Reliability Engineering & System Safety

View full text Add to dashboard Cite

UASs form a large part of the fighting ability of the advanced military forces. In particular, these systems that carry confidential information are subject to security attacks. Accordingly, an Intrusion Detection System (IDS) has been proposed in the proposed design to protect against the security problems using the human immune system (HIS). The IDSs are used to detect and respond to attempts to compromise the target system. Since the UASs operate in the real world, the testing and validation of these systems with a variety of sensors is confronted with problems. This design is inspired by HIS. In the mapping, insecure signals are equivalent to an antigen that are detected by antibody-based training patterns and removed from the operation cycle. Among the main uses of the proposed design are the quick detection of intrusive signals and quarantining their activity. Moreover, SUAS-HIS method is evaluated here via extensive simulations carried out in NS-3 environment. The simulation results indicate that the UAS network performance metrics are improved in terms of false positive rate, false negative rate, detection rate, and packet delivery rate. detection methods to track and to eliminate. In specific, to increase the chance of successfully intercepting a ballistic missile, it is essential to have swift detection and tracking system, capable of detecting and tracking the missile right after it is launched. The designers working on ballistic missile defense networks are aiming the system to be capable of intercepting the missiles during their initial 2 to 5 minutes of flight, which is called the boost phase. During the boost phase, if the trajectory of the missile is directly away from the trajectory of the UAV, it will easily recede from the range of the sensors on the UAV. Hence, the routing of the information used in the network of the sensors of the ballistic missile should be addressed using networks of hybrid wireless sensors capable of complying with high availability and requirements mandated due to security. To demonstrate the UAVs' applications that have an innate time sensitivity, and to signify the urgency of providing security in communication channels, this case is discussed in the following paper [2,3]. However, despite the advantage's UAVs provide through various applications, since there are situations where no pilot monitors the activities, they are potentially vulnerable against cyber threats. This intensifies the emergence to design secure and reliable UASs and overcome the challenges to avoid damage and destruction to other systems as well as human lives [2,3].A number of attacks, such as Wormhole (WH), Black hole (BH), Gray hole (GH), and Fake Information Dissemination (FID), illegally penetrate the system. Once an unmanned system is affected by an attack, removing the threat and bringing the system back online is a laborious task. It should be mentioned that the common methods to secure information, such as encryption or intrusion detection [4], are inadequate when dealing with such risks. T...

show abstract

Section: Detection Schemesmentioning

confidence: 99%

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Fotohi

2020

Reliability Engineering & System Safety

View full text Add to dashboard Cite

show abstract

“…Furthermore, compared with a single UAV, UAVs formation is not only able to complete more tasks, but also able to reduce the time of executing various activities and to increase the quality of collected data. For these applications, several key technical problems should be addressed, such as co-operative path planning (5,6) , co-operative mission planning (7) , formation relative navigation (8) , formation control (9) and Multivariable adaptive distributed leader-follower… collision avoidance (10) . Under such research background, it is of great importance to research formation flight control and its engineering applications.…”

Section: Introductionmentioning

confidence: 99%

Multivariable adaptive distributed leader-follower flight control for multiple UAVs formation

Zhen

2017

Aeronaut. j.

View full text Add to dashboard Cite

The Unmanned Aerial Vehicles (UAVs) become more and more popular due to various potential application fields. This paper studies the distributed leader-follower formation flight control problem of multiple UAVs with uncertain parameters for both the leader and followers. This problem has not been addressed in the literature. Most of the existing literature considers the leader-follower formation control strategy with parametric uncertainty for the followers. However, they do not take the leader parametric uncertainty into account. Meanwhile, the distributed control strategy depends on less information interactions and is more likely to avoid information conflict. The dynamic model of the UAVs is established based on the aerodynamic parameters. The establishment of the topology structure between a collection of UAVs is based on the algebraic graph theory. To handle the parametric uncertainty of the UAVs dynamics, a multivariable model reference adaptive control (MRAC) method is addressed to design the control law, which enables follower UAVs to track the leader UAV. The stability of the formation flight control system is proved by the Lyapunov theory. Simulation results show that the proposed distributed adaptive leader-following formation flight control system has stronger robustness and adaptivity than the fixed control system, as well as the existing adaptive control system.

show abstract

“…However, for UAV task allocation problems, due to the constraints of the UAV's kinematic constraints, the distance between targets visited by UAVs is no longer Euclidean distance but rather Dubins path length. The Dubins path is a feasible trajectory of the minimum length over a bounded curvature trajectory at a constant rate [29], and it has been widely used in the field of UAV trajectory planning [5,[30][31][32]. In addition, for multi-UAV pesticide spraying assignment problems, due to the many possible points for UAVs to enter and exit the farmland, there are multiple Dubins paths between farmlands.…”

Section: Related Workmentioning

confidence: 99%

“…Thus, the UAV must fly along the Dubins path between and [57]. Meanwhile, the UAV does not spray pesticides when flying between farmlands.…”

Section: Flight Trajectory Between Farmlandsmentioning

confidence: 99%

Optimization of Pesticide Spraying Tasks via Multi-UAVs Using Genetic Algorithm

Luo

Niu

Zhu

et al. 2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Task allocation is the key factor in the spraying pesticides process using unmanned aerial vehicles (UAVs), and maximizing the effects of pesticide spraying is the goal of optimizing UAV pesticide spraying. In this study, we first introduce each UAV's kinematic constraint and extend the Euclidean distance between fields to the Dubins path distance. We then analyze the two factors affecting the pesticide spraying effects, which are the type of pesticides and the temperature during the pesticide spraying. The time window of the pesticide spraying is dynamically generated according to the temperature and is introduced to the pesticide spraying efficacy function. Finally, according to the extensions, we propose a team orienteering problem with variable time windows and variable profits model. We propose the genetic algorithm to solve the above model and give the methods of encoding, crossover, and mutation in the algorithm. The experimental results show that this model and its solution method have clear advantages over the common manual allocation strategy and can provide the same results as those of the enumeration method in small-scale scenarios. In addition, the results also show that the algorithm parameter can affect the solution, and we provide the optimal parameters configuration for the algorithm.

show abstract

A self-organized search and attack algorithm for multiple unmanned aerial vehicles

Cited by 62 publications

References 4 publications

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Multivariable adaptive distributed leader-follower flight control for multiple UAVs formation

Optimization of Pesticide Spraying Tasks via Multi-UAVs Using Genetic Algorithm

Contact Info

Product

Resources

About