Abstract
Time varying networks are a new paradigm for understanding and building distributed systems composed of various agents. Agents are autonomous systems and have two important attributes; First, they have some degree of independence in execution of their decision and deciding their next goal in order to achieve a global goal secondly, they are capable of interacting with other agents using a communication network. In this paper, an algorithm for agent counting is proposed for computing the total number of agents in a network by using graph and matrix theory. Simulation results indicates some of the control problems in distributed time varying networks and demonstrate the effectiveness of the established results for a fixed and switching topologies.
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Mustafa, A., Ahmed, S., ul Islam, N., Tufail, A. (2018). An Efficient Agent Scheming in Distributed Time Varying Networks. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-56991-8_23
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DOI: https://doi.org/10.1007/978-3-319-56991-8_23
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