Distributed Control for Groups of Unmanned Aerial Vehicles Performing Surveillance Missions and Providing Relay Communication Network Services

Moraes, Rodrigo Saar de; Freitas, Edison Pignaton de

doi:10.1007/s10846-017-0726-z

Cited by 35 publications

(16 citation statements)

References 18 publications

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“…In [86] an optimisation and an auction based approach are combined, while in [87] a market based method is combined with a game theory based one. Furthermore, [88], [89] and [13] are a market based and metaheuristic combination and [90] is a market based and learning combination. In [91] an evolutionary algorithm with a greedy algorithm are combined, while in [92] a game theoretic based approach is combined with a learning algorithm.…”

Section: E Hybrid Approachesmentioning

confidence: 99%

A survey of task allocation techniques in MAS

Skaltsis

Shin

Tsourdos

2021

2021 International Conference on Unmanned Aircraft Systems (ICUAS)

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Multi-agent systems and especially unmanned vehicles, are a crucial part of the solution to a lot of real world problems, making essential the improvement of task allocation techniques. In this review, we present the main techniques used for task allocation algorithms, categorising them based on the techniques used, focusing mainly on recent works. We also analyse these methods, focusing mainly on their complexity, optimality and scalability. We also refer to common communication schemes used in task allocation methods, as well as to the role of uncertainty in task allocation. Finally, we compare them based on the above criteria, trying to find gaps in the literature and to propose the most promising ones.

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Section: E Hybrid Approachesmentioning

confidence: 99%

A survey of task allocation techniques in MAS

Skaltsis

Shin

Tsourdos

2021

2021 International Conference on Unmanned Aircraft Systems (ICUAS)

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“…Swarms of mobile robots enable the execution of many tasks faster and more effectively than a lone robot, for example, in field exploration [21,22], search for a target of surveillance [23,24] or rescue [25,26]. This is possible because of their number as well as their group intelligence, which allows distribution of tasks between robots in the swarm.…”

Section: Related Workmentioning

confidence: 99%

Toward a robot swarm protecting a group of migrants

Vaidis

Otis

2020

Intel Serv Robotics

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Different geopolitical conflicts of recent years have led to mass migration of several civilian populations. These migrations take place in militarized zones, indicating real danger contexts for the populations. Indeed, civilians are increasingly targeted during military assaults. Defense and security needs have increased; therefore, there is a need to prioritize the protection of migrants. Very few or no arrangements are available to manage the scale of displacement and the protection of civilians during migration. In order to increase their security during mass migration in an inhospitable territory, this article proposes an assistive system using a team of mobile robots, labeled a rover swarm that is able to provide safety area around the migrants. We suggest a coordination algorithm including CNN and fuzzy logic that allows the swarm to synchronize their movements and provide better sensor coverage of the environment. Implementation is carried out using on a reduced scale rover to enable evaluation of the functionalities of the suggested software architecture and algorithms. Results bring new perspectives to helping and protecting migrants with a swarm that evolves in a complex and dynamic environment.

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“…The architecture is composed of three types of nodes, namely, one Controller Node (CN), a set of Relay Nodes (RN) and a set of Independent Nodes (IN). The INs perform an arbitrary mission (such as the search for points of interest [28]) and thus their positions are defined exclusively by themselves. On its turn, the RNs must be allocated in order to provide the best possible link availability among the INs.…”

Section: Architecturementioning

confidence: 99%

STFANET: SDN-Based Topology Management for Flying Ad Hoc Network

et al. 2019

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In recent years, with the growth in the use of Unmanned Aerial Vehicles (UAVs), UAV-based systems have become popular in both military and civil applications. The lack of reliable communication infrastructure in these scenarios has motivated the use of UAVs to establish a network as flying nodes, also known as Flying Ad Hoc Networks (FANETs). However, the high mobility degree of flying and terrestrial users may be responsible for constant changes in the network topology, which makes more challenging to guarantee their communication during the operational time. In this context, this article presents a Software-defined networking (SDN) based Topology management for FANETs-called of STFANET-, which is a coordination protocol that englobes both an efficient SDN-based UAV communication and a set of topology management algorithms. The goal is to establish and maintain a FANET topology in order to provide a constant and reliable communication link among independent nodes-which are performing individual or collaborative missions-through relays units. Simulation results show the efficiency of the proposed protocol in order to provide communication in a dynamic scenario. Considering its use in a military setting, STFANET managed to achieve 25% of packet loss in transmitting data packets, 1.5ms of latency and 71% of connectivity on average. INDEX TERMS FANET, topology management, relay node placement, SDN, communication protocol.

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Distributed Control for Groups of Unmanned Aerial Vehicles Performing Surveillance Missions and Providing Relay Communication Network Services

Cited by 35 publications

References 18 publications

A survey of task allocation techniques in MAS

A survey of task allocation techniques in MAS

Toward a robot swarm protecting a group of migrants

STFANET: SDN-Based Topology Management for Flying Ad Hoc Network

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