Abstract

An efficient and energy-saving algorithm, K-means and FAH (KAF), has been proposed to solve the problems of node energy constraints, short network cycle and low throughput in current wireless sensor networks. Network clustering is obtained by optimizing K-means clustering. Based on FAHP (Fuzzy Analytic Hierarchy Process) method, the cluster head selection is optimized considering the factors of node energy, distance from base station and energy efficiency of nodes. Based on the factors of transmission distance, energy and hop number, multi-hop routing is constructed to effectively reduce the energy consumption of nodes in data transmission. The simulation results show that compared with other protocols, KAF algorithm has obvious advantages in reducing node energy consumption, prolonging network life cycle and increasing network throughput. And under different routing protocol, the performances of the algorithm are verified. By adjusting the size of the candidate node set selection area, the reliability of data transmission of the long-distance node is increased, and the energy consumption load of the near-distance node is reduced. At the same time, the use of opportunistic transmission strategies increases the reliability of data transmission. The simulation results show that the proposed protocol can effectively reduce the energy consumption of nodes and prolong the network life cycle.

Highlights

  • In the applications of WSN (Wireless Sensor Network), once the sensor nodes have been deployed in the monitoring area, it is often difficult to perform subsequent maintenance [1]–[4]

  • The simulation experiment of K-means and FAH (KAF) algorithm was carried out by MATLAB platform (CPU: core i5-9700, 520Gb hard disk), and the experimental results were compared with K-means-based routing (KMR) [10], LEACH and K-means (LEACH-K) [11], K-means and particle swarm optimization (KPSO) [12], energy efficient algorithm based K-means (KEE) [13]

  • In this paper, the network clustering is obtained based on the improved K-means clustering

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Summary

Introduction

In the applications of WSN (Wireless Sensor Network), once the sensor nodes have been deployed in the monitoring area, it is often difficult to perform subsequent maintenance [1]–[4]. These nodes are self-organized into a network system by mutual coordination, and the data collected from the monitoring area is transmitted to the base station [5], [6]. Network node data requires the participation of a routing protocol for efficient transmission. A routing protocol needs to be selected This is one of the hot spots for WSN research [10]. The WSN routing protocol can be regarded as a method of data transmission

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