Abstract
There is a certain energy loss in the process of wireless sensor network information collection. Moreover, the current network protocols and network coverage methods are not sufficient to effectively reduce system energy consumption. In order to improve the operating efficiency and service life of wireless sensor networks, this study analyzes the classic LEACH protocol, summarizes the advantages and disadvantages, and proposes a targeted clustering method based on the K-means algorithm. At the same time, in order to maximize the network coverage and minimize the energy consumption on the basis of ensuring the quality of service, a wireless sensor network coverage optimization method based on an improved artificial fish swarm algorithm was proposed. In addition, a controlled experiment is designed to analyze the effectiveness and practical effects of the proposed algorithm. The experimental results show that the method proposed in this paper has certain advantages over traditional methods and can provide theoretical references for subsequent related research.
Highlights
With the continuous development of computer technology and communication technology, the information carrying status of wireless sensor networks is increasing
After analyzing the cut points, we focus on the research of clustered routing, and based on this, we propose a K-means clustering algorithm based on feedback
Based on the above analysis, in view of the typical LEACH clustering routing protocol with uneven clustering and random distribution of cluster head nodes leading to high network energy consumption, this paper combines the advantages of the K-means algorithm to propose a K-means clustering protocol based on feedback
Summary
With the continuous development of computer technology and communication technology, the information carrying status of wireless sensor networks is increasing. After analyzing the cut points, we focus on the research of clustered routing, and based on this, we propose a K-means clustering algorithm based on feedback. This algorithm mainly adopts the multi-hop method of cluster head and main cluster head to collect, fuse and transfer information. For the coverage study of wireless sensor networks, this paper applies the fish school algorithm to reduce the active state of a large number of nodes in the network, thereby effectively reducing energy consumption. This paper mainly optimizes the distribution of network nodes through algorithm improvement and uses the least active nodes to improve network energy efficiency, thereby improving network operation efficiency and actual life
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