Open AccessArtificial Intelligence Based Sensor Network Congestion Fuzzy Control Algorithm
Author(s) -
Jing Luo,
Xiaoxu Xiao,
Rongxia Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2074/1/012030
Subject(s) - computer science , wireless sensor network , topology control , fuzzy logic , brooks–iyengar algorithm , fuzzy control system , algorithm , topology (electrical circuits) , network topology , energy consumption , logical topology , network congestion , distributed computing , computer network , key distribution in wireless sensor networks , artificial intelligence , mathematics , engineering , network packet , telecommunications , wireless network , combinatorics , electrical engineering , wireless
The topology control of sensor sensor network was studied based on fuzzy control algorithm. Aiming at the dynamic changes of the topology of large-scale and heterogeneous artificial intelligence sensor networks and the incomplete information between nodes, a smart network-based congestion control algorithm for sensor networks was proposed and the performance of fuzzy control algorithms was analyzed. Based on this, a fuzzy control algorithm was designed. The algorithm fully considered the residual energy of nodes and the distribution of nodes in the network. Therefore, the reasonable election of the cluster head can be realized through the game between nodes, which effectively avoided energy holes, made the network energy consumption more uniform, prolonged the network life cycle, and optimized the network topology.