Dear Colleagues, 

In general, the term "multi-agent system" (referred to as MAS) is understood to refer to an interconnected set of independent entities that are able to effectively solve complex and time-consuming problems exceeding the individual abilities of common problem solvers. The coordinated entities forming MAS regularly interact with each other in order to solve various problems in numerous technical/non-technical applications. In many modern MASs, the entities are required to be fully autonomous, to provide global decisions based on local knowledge, and to be able to work effectively in a decentralized way. The design of robust, energy-efficient, and high-performance algorithms for MASs therefore poses a demanding challenge for the wider scientific community. Thus, in recent decades, significant attention has been paid by many scientists to the optimization of the operation of MASs in many respects (routing, data aggregation, communication, coordination, consensus achievement, synchronization, etc.). This Special Issue is dedicated to the analysis and optimization of MASs from a broad perspective (including branches that are potentially applicable in MASs); therefore, potential topics include but are not limited to the following:

• Wireless networks;
• Internet of Things;
• Distributed and parallel computing;
• Cloud computing;
• Data aggregation, sensor fusion;
• Signal processing;
• Modeling using big data from the multi-sensor systems;
• Possibility theory;
• Remote sensing data processing;
• Artificial intelligence for multi-sensor fusion systems;
• Routing protocols;
• Communication protocols;
• Optical systems.

Prof. Dr. Agostino Poggi
Dr. Martin Kenyeres
Dr. Ivana Budinská
Dr. Ladislav Hluchy
Guest Editors

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• multi-agent systems
• Internet of Things
• wireless sensor networks
• data aggregation
• remote sensing
• distributed computing
• parallel computing
• cloud computing
• artificial intelligence