Application of Multi-agent Technology in the Scheduling System of Swarm of Earth Remote Sensing Satellites

Скобелев, П. О.; Simonova, Elena; Zhilyaev, Alexey; Travin, Vitaliy

doi:10.1016/j.procs.2017.01.127

Cited by 35 publications

(10 citation statements)

References 6 publications

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“…Zaouche et al [59] Zhong et al [41] Skobelev et al [50] Rampinelli et al [48] Shibata [42] Elleuch et al [21] Schleich et al [30] Ghouti et al [38,39]…”

Section: Alsamhi Et Al [54]mentioning

confidence: 99%

“…Applications of AI play a critical role in the field of space engineering and space technology and identify [49]. Skobelev et al [50] studied and presented a new intelligence technique for solving the problem of Earth sensing satellites by using multiagent technology. Furthermore, Stottler described an AI techniques for automatic optimization, scheduling, and deconfliction of satellite communication [51].…”

Section: Al-sakran Et Al 2015 [85] Intelligent Agentmentioning

confidence: 99%

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Survey on artificial intelligence based techniques for emerging robotic communication

Alsamhi

Ansari

2019

Telecommun Syst

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This paper reviews the current development of artificial intelligence (AI) techniques for the application area of robot communication. The study of the control and operation of multiple robots collaboratively toward a common goal is fast growing. Communication among members of a robot team and even including humans is becoming essential in many real-world applications. The survey focuses on the AI techniques for robot communication to enhance the communication capability of the multi-robot team, making more complex activities, taking an appreciated decision, taking coordinated action, and performing their tasks efficiently.

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“…Zaouche et al [59] Zhong et al [41] Skobelev et al [50] Rampinelli et al [48] Shibata [42] Elleuch et al [21] Schleich et al [30] Ghouti et al [38,39]…”

Section: Alsamhi Et Al [54]mentioning

confidence: 99%

Section: Al-sakran Et Al 2015 [85] Intelligent Agentmentioning

confidence: 99%

Survey on artificial intelligence based techniques for emerging robotic communication

Alsamhi

Ansari

2019

Telecommun Syst

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“…In this paper, seven satellites are used in the simulation experiment. Skobelev [8] used a distributed multi-agents system to solve multi-satellite scheduling problems. He regarded observation requirements as demand agents and ground stations as resource agents.…”

Section: Fig 1 Traditional Satellite Mission Planning Processmentioning

confidence: 99%

JADE implemented multi-agent based platform for multiple autonomous satellite system

Chen

Liu

et al. 2018

2018 SpaceOps Conference

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With the increase in the number of satellites and the complexity of missions performed by satellites, some of the imaging requests is difficult to finish by a single satellite but rely on multiple types of satellites. At the same time, traditional satellites are difficult to deal with conditions such as emergency, environmental uncertainty and so on. So the study of intelligent autonomous satellite is of great significance. Both of these requirements raised a new topic that is Multi-autonomous Satellite Cooperative Task Planning Problem. This paper focus on this problem and first designs a framework of multi-autonomous satellite cooperation task planning process. Based on this framework, this papaer designs a multi-agent based platform for multi-autonomous satellite system, which is implemented by JADE (Java Agent Development Framework). The multi-agent platform designed in this paper includes two layers. One layer is single autonomous satellite layer, the other one is multi-satellite cooperation layer. In the experiment part, this article builds a specific experimental platform for geostationary orbit and low-orbit satellites cooperative mission planning scenario, and proposes a task assign algorithm for this platform. We solve the experiment scenario designed in this paper by this platform, and the experiment results prove the validity of the platform designed in this paper. I. Nomenclature r= the ratio of the total resources consumption by each satellite's planned tasks to satellite's capabilities Storei = storage needed by task i Storemax = the largest usable storage of satellite GEO = autonomous geostationary satellite in experiment scenario LEOj = autonomous optical agile satellite j in experiment scenario 1 PhD. Student , College of systems engineering.

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“…Visual survey found populating of multiple diagonal cracks in the building's concourse on contact its southern and south-western blocks. Probably, such violations in the building are not yet in sight of the service provider because they cover small amount of construction, but the monitoring data suggests that the disruption of building integrity is caused by uneven subsidence [8].…”

Section: Use Of Innovative Earth Remote Sensing Technologies At Managmentioning

confidence: 99%

Use of ground surface deformations monitoring data for control of housing facilities health

2017

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Application of Multi-agent Technology in the Scheduling System of Swarm of Earth Remote Sensing Satellites

Cited by 35 publications

References 6 publications

Survey on artificial intelligence based techniques for emerging robotic communication

Survey on artificial intelligence based techniques for emerging robotic communication

JADE implemented multi-agent based platform for multiple autonomous satellite system

Use of ground surface deformations monitoring data for control of housing facilities health

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