Multi-domain robotic swarm communication system

Benavidez, Patrick; Nagothu, Kranthimanoj; Ray, Anjan Kumar; Shaneyfelt, Ted; Kota, S.; Behera, Laxmidhar; Jamshidi, Mo

doi:10.1109/sysose.2008.4724189

Cited by 27 publications

(8 citation statements)

References 3 publications

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“…This approach relates to the scientific direction of artificial swarm intelligence, which arose when conducting biological studies of insects, in particular, ants and bees, as well as in research in other areas of nature where swarm behavior is taking place. The results of studies on the management of such groups of robots moving on the surface of the Earth have shown high efficiency in using such a high-altitude aircraft as the head coordinating unit of the group [14].…”

Section: Introductionmentioning

confidence: 99%

Formation of a Wireless Communication System Based on a Swarm of Unmanned Aerial Vehicles

Kravchuk¹,

Afanasieva

2019

Information and Telecommunication Sciences

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Background. Currently, a new direction in the technology of mobile systems is rapidly developing, associated with the use of a set / group of mobile multifunctional elements that can create different spatially-distributed structures for various applications: from entertainment shows to intelligence networks. This is a technique of small unmanned aerial vehicles (UAV), often called drones, and their use in the field of building telecommunication systems. Objective. The aim of the work is to develop the basic principles and strategies for the formation of a heterogeneous wireless communication system based on a swarm of unmanned aerial vehicles. Methods. We study the structural and functional methods of building a wireless network. Results. Scenarios of centralized and distributed building of a wireless network of control of a swarm of UAVs are presented, assessment of the complexity of the functionality of swarm nodes in the case of a distributed scenario is carried out. A scheme of phased implementation of the life cycle of a UAV swarm for communication services has been developed. The "molecular" scenario of spatial self-organization of the swarm-nodes of the swarm is presented, which can be implemented using the "chain" and "flash" procedures. The proposed construction of some strategies for managing the swarm: centralized and decentralized with the Leader, collective self-management with information sharing, decentralized management with forecasting, self-organization without information sharing. Conclusions. The basic principles and strategies for the formation of a heterogeneous wireless communication system based on a swarm of unmanned aerial vehicles have been developed. A collective management strategy for a swarm of drones was developed.

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Section: Introductionmentioning

confidence: 99%

Formation of a Wireless Communication System Based on a Swarm of Unmanned Aerial Vehicles

Kravchuk¹,

Afanasieva

2019

Information and Telecommunication Sciences

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“…In [14], the authors proposed a hybrid hierarchal/mesh network topology to send commands to various robotic swarms. In this work, a slave agent takes information from a master agent and forwards the commands.…”

Section: Related Workmentioning

confidence: 99%

“…In [14][15][16][17][18], the focus of the authors was on the formation movement problem by considering a single swarm only, while in [19][20][21][22], the authors focused on the communication aspects of swarm-networked robotics by considering a single swarm only. Moreover, from the communication aspect, just the intraswarm communication was considered in all of the mentioned works.…”

Section: Related Workmentioning

confidence: 99%

Investigation on communication aspects of multiple swarm networked robotics

Ali¹,

Khan²,

Din³

et al. 2019

Turk J Elec Eng & Comp Sci

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Swarm robotics is an emerging field of robotics and is envisioned to play a vital role in surveillance and search/rescue operations. Most of the existing works on swarm networked robotics address the problem of formation movement or the communication aspects within a swarm. However, none of the existing works consider multiple swarms. Even for the case of single swarms, researchers use unrealistic assumptions with respect to communication, leading to unrealistic results. In this paper, we evaluate the performance of multiple swarms considering realistic assumptions with respect to communication. To the best of our knowledge, it will be the first time where the performance is evaluated for the case of multiple swarms while considering realistic assumptions with respect to communication. Our simulation results shed light on the roles of three different types of communication associated with multiple swarms with respect to multiple performance metrics.

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“…Therefore, the main function of their intelligence is used for adapting their position to the environment. Some of the tasks concerning to the environment that they should handle are: navigating [1][2], foraging [3], formation controlling and formation forming [4], aggregating [5], sorting [6], and collective construction [7].…”

Section: Introductionmentioning

confidence: 99%

Application of Type-1 and Type-2 Fuzzy Logic Controller for The Real Swarm Robot

et al. 2019

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Navigation is one of the typical problem domains occurred in studying swarm robot. This task needs a special ability in avoiding obstacles. This research presents the navigation techniques using type 1 fuzzy logic and interval type 2 fuzzy logic. A comparison of those two fuzzy logic performances in controlling swarm robot as tools for complex problem modeling, especially for path navigation is presented in this paper. Each hierarchical of fuzzy logic shows its advantages and disadvantages. For testing the robustness of type-1 fuzzy logic and interval type-2 fuzzy logic algorithms, 3 robots for the real swarm robot experiment are used. Each is equipped with one compass sensor, three distance sensors, and one X-Bee communication module. The experimental results show that type-2 fuzzy logic has better performance than type-1 fuzzy logic.

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Multi-domain robotic swarm communication system

Cited by 27 publications

References 3 publications

Formation of a Wireless Communication System Based on a Swarm of Unmanned Aerial Vehicles

Formation of a Wireless Communication System Based on a Swarm of Unmanned Aerial Vehicles

Investigation on communication aspects of multiple swarm networked robotics

Application of Type-1 and Type-2 Fuzzy Logic Controller for The Real Swarm Robot

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