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:: Volume 4, Issue 7 (5-2025) ::
3 2025, 4(7): 48-56 Back to browse issues page
Multi-agent systems in communication networks
Hossin Sharifi , Ali Ezzati , Hamid Yasinian , Mostafa Chahardoli
Abstract:   (119 Views)
Multi-Agent Systems (MAS) as an advanced framework in communication network management, combining collective intelligence and flexibility, have the ability to solve complex problems in dynamic environments. These systems consist of three main components: autonomous agents, environment, and communication mechanisms. Different architectures such as centralized, decentralized, hierarchical, and heteroarchical, each with its own advantages and challenges, have been designed for various applications. Key algorithms such as consensus, distributed optimization, and swarm intelligence play a vital role in coordination and performance improvement. MAS applications include intelligent traffic management, incident response, and resource allocation in networks. However, challenges such as scalability, security, and performance evaluation require attention. Future research directions include integration with machine learning, development of flexible communication protocols, and a focus on ethics and transparency. These systems have the potential to transform next-generation networks.
 
Keywords: Multi-agent systems, crowd intelligence, traffic management, consensus algorithms, machine learning
Full-Text [PDF 361 kb]   (51 Downloads)    
Type of Study: Research | Subject: Special
Received: 2025/05/20 | Accepted: 2025/06/12 | Published: 2025/06/12
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sharifi H, ezzati A, Yasinian H, Chahardoli M. Multi-agent systems in communication networks. 3 2025; 4 (7) :48-56
URL: http://jiis.iauh.ac.ir/article-1-46-en.html


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Volume 4, Issue 7 (5-2025) Back to browse issues page
فصلنامه سیستم های اطلاعاتی هوشمند Intelligent Information Systems Journal
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