2020 VOL.3 Feb No.1

• Title: Fuzzy control algorithm for congestion in sensor networks based on artificial intelligence
• Name: Gayler Matheus
• Company: The American School in Switzerland
• Abstract:

  The topology control of sensor networks is studied based on fuzzy control algorithms. Aiming at the characteristics of large-scale, heterogeneous artificial intelligence sensor network topology dynamic changes and incomplete information between nodes, an artificial intelligence-based fuzzy control algorithm for sensor network congestion is proposed, and its performance is analyzed. Based on this, a fuzzy control algorithm is designed. In the design of the algorithm, the remaining energy of the nodes and the distribution of the nodes in the network are fully considered. Therefore, a reasonable election of the cluster head can be achieved through the game between nodes, which effectively avoids energy holes. Makes the network energy consumption more uniform, extends the network life cycle, and optimizes the network topology.

• Keyword: Artificial Intelligence; Sensors; Fuzzy Control Algorithms; Bayesian Games;
• DOI: 10.12250/jpciams2020010124
• Citation form: Gayler Matheus.Fuzzy control algorithm for congestion in sensor networks based on artificial intelligence[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 78-82.

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