Congestion control method of wireless sensor network based on fuzzy control single neuron PID controller

Abstract

The invention discloses a congestion control method of a wireless sensor network based on a fuzzy control single neuron PID controller, and belongs to an active queue control method. The method can overcome the problem of network crash caused by full queue in the existing method, and comprises the following steps: 1) defining related parameters; 2) implementing a PID method; 3) realizing an NPID method; 4) improving the NPID method by adopting a fuzzy control algorithm to obtain an FNPID method; and 5) calculating the discard probability p(k), and actively discarding packets according to the discard probability p(k) before the queue is full. The active queue management method FNPID is used to ensure that the network is not full of queues, a good control effect is continuously maintained, the time delay and the packet loss rate are reduced, the throughput is improved, and the relatively high performance of the network is maintained.

Description

technical field [0001] The invention belongs to the field of wireless sensor network congestion control, in particular to a wireless sensor network congestion control method based on a fuzzy control single neuron PID controller, and belongs to the category of node active queue management. Background technique [0002] In today's information age, with the development of 5G technology and the Internet of Everything, the application of Wireless Sensor Networks (WSN) is becoming more and more extensive, which can be seen in smart home, national defense and military, biomedicine, smart agriculture and other fields The figure of wireless sensor network. The wireless sensor network has the characteristics of distribution and is a multi-hop self-organizing network. A large number of sensor nodes in the monitoring area can cooperatively send the collected information to the sink node, and then transmit it to the users of the network. With the collection, processing and transmission...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the problem that the PID algorithm parameters in the prior art are fixed, and the parameters cannot be automatically adjusted to adapt to the time-varying load of the wireless sensor network, and a fuzzy control based single neuron PID controller is proposed. The active queue management method of wireless sensor network nodes, through the addition of single neuron technology, enables the parameters of the PID algorithm to have the ability of self-learning, and introduces the fuzzy control algorithm to adjust the fixed gain of the single neuron in real time, thereby accelerating the applied The rapid convergence of the control achieves a good control effect, avoids congestion, improves throughput, reduces delay, and reduces packet loss rate

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