caa a22 4500 605514666 CHVBK 20210128100705.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s10458-014-9273-1 doi (NATIONALLICENCE)springer-10.1007/s10458-014-9273-1 High reliable and efficient task allocation in networked multi-agent systems [Elektronische Daten] [Faezeh Rahimzadeh, Leyli Mohammad Khanli, Farnaz Mahan] Task allocation in networked multi-agent systems refers to agents' coordination and cooperation in order to provide the required resources of task in a way to increase the efficiency of the system as a whole. One of the important goals pursued in task allocation is to decrease the task execution time achieved through reducing the communication time and waiting time. For this aim, it seems that two important effective factors in the communication time are agents' talents and distances between them. Applying these factors in task allocation process leads to local allocation of tasks to required resources. Agents' failure is an important issue, which challenges task allocation in networked multi-agent systems in two ways: agent's failure fails the process of task allocation. This makes task be rescheduled which is a time consuming process. In addition, due to the changes made in networked structure of the system, an efficient allocation of tasks to resources is not ensured. This paper employed a novel approach in which the reliability of agents is another important factor in task allocation. Simulation results indicated that assigning tasks to agents with higher reliability leads to a higher success rate, and consequently a lower execution time in task allocation. The Author(s), 2014 Networked multiagent systems nationallicence Task allocation nationallicence Task execution time nationallicence Failure nationallicence Reliability nationallicence Rahimzadeh Faezeh Department of Computer Engineering, College of Engineering, Islamic Azad University, Tabriz Branch, Tabriz, Iran aut Mohammad Khanli Leyli Department of Computer Engineering, University of Tabriz, Tabriz, Iran aut Mahan Farnaz Department of Computer Science, University of Tabriz, Tabriz, Iran aut Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/6(2015-11-01), 1023-1040 1387-2532 29:6<1023 2015 29 10458 https://doi.org/10.1007/s10458-014-9273-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10458-014-9273-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rahimzadeh Faezeh Department of Computer Engineering, College of Engineering, Islamic Azad University, Tabriz Branch, Tabriz, Iran aut NATIONALLICENCE 700 1- Mohammad Khanli Leyli Department of Computer Engineering, University of Tabriz, Tabriz, Iran aut NATIONALLICENCE 700 1- Mahan Farnaz Department of Computer Science, University of Tabriz, Tabriz, Iran aut NATIONALLICENCE 773 0- Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/6(2015-11-01), 1023-1040 1387-2532 29:6<1023 2015 29 10458