Annular wireless sensor network non-uniform clustering algorithm based on fuzzy control

Abstract

The invention relates to a a wireless sensor network non-uniform clustering algorithm, in particular to an annular wireless sensor network non-uniform clustering algorithm based on fuzzy control ring.In this algorithm, the sensor nodes are randomly distributed in concentric rings with the same interval; based on the annular network, a fuzzy control module is utilized, five input variables are adopted, the five input variables are residual energy, distance from each node to a base station, node degree, starting energy and ring width, and then the optimal cluster number of each ring, the opportunity that the nodes become cluster heads and the competition radius of the cluster heads are output in real time through an if-gen rule device. Therefore, the problem of non-uniform network energy consumption can be effectively balanced, the network energy consumption is obviously reduced, and the network life cycle is prolonged.

Description

technical field [0001] The present invention relates to a wireless sensor network non-uniform clustering algorithm, in particular to a fuzzy control-based ring wireless sensor network non-uniform clustering algorithm NUFR (A Non-uniform Clustering Algorithm for Wireless Sensor Networks Based on Fuzzy Control Ring). In this algorithm, sensor nodes are randomly distributed in concentric rings with equal intervals. The input parameters of the fuzzy control module are controlled by the node attributes in the ring, which uses 5 input variables, which are "residual energy", "distance to the base station", "node degree", "starting energy" and " Ring width", and then output the "optimal number of clusters" of each ring in real time through the if-then ruler, the "opportunity" of a node to become a cluster head and the "competition radius" of a cluster head. In this way, the problem of uneven energy consumption in the network can be effectively balanced, the energy consumption of the ...

AI Technical Summary

Problems solved by technology

[0003] Many domestic and foreign experts have conducted a lot of research on non-uniform clustering algorithms, such as the weight-based heuristic algorithm, which selects CH through a weight-based heuristic algorithm based on residual energy, node degree, and distance to the base station. Although the algorithm The actual situation of the nodes is considered comprehensively, but the algorithm is complex and the signal conflicts are large, which increases the energy consumption of the nodes

In the existing algorithms, the "optimal number of clusters" in each ring and the energy consumed by the nodes when they switch from the dormant state to the working state are not comprehensively considered.

Can not really solve the "hot spot" problem in wireless sensor networks

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