Fuzzy Power Control Algorithm for Wireless AD HOC Sensor Networks

Authors

  • Li Yao School of Computing, Hubei Polytechnic University, Huangshi 435003, China

Abstract

The realization of power gain control is an important goal of wireless ad hoc sensor network networking. The traditional wireless ad hoc sensor network power control method adopts an adaptive parameter fusion method, which has poor control adaptability, poor beat separation between control links and a poor load balancing effect. A wireless ad hoc sensor network power control scheme based on PID neural network control is proposed, and a PID deadbeat control algorithm for wireless ad hoc sensor network is designed. Combining a flux linkage controller and speed controller, an artificial intelligence PID fuzzy feedforward neural network is constructed to obtain a PID feedforward neural network model of a wireless ad hoc sensor network based on artificial intelligence. A Nash equilibrium game model of a wireless ad hoc sensor network node transmission power game is
constructed by adopting a parameter fusion and adaptive parameter identification method, a power consumption output gain scheduling model of the wireless ad hoc sensor network is constructed, and the output power of the wireless ad hoc sensor network is controlled by combining a sensing information tracking identification method. Simulation results show that the algorithm has good convergence, and the transmit power of cluster head node has higher gain, which reduces the energy consumption of sensor nodes and improves the performance of wireless ad hoc sensor networks.

Keywords: Wireless Ad Hoc Sensor Networks, Fuzzy, Power, Control, Gain, Equalization, Load

Cite As

L. Yao, "Fuzzy Power Control Algorithm for Wireless AD HOC Sensor Networks", Engineering Intelligent Systems, vol. 30 no. 2, pp. 127-137, 2022.





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Published

2022-03-01

Issue

Vol. 30 No. 2 (2022): International Journal of Engineering Intelligent Systems

Section

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