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VKECE-3D:基于 3D-Voronoi 和 K-Means 算法的三维异构无线传感器网络中的节能覆盖增强。

VKECE-3D: Energy-Efficient Coverage Enhancement in Three-Dimensional Heterogeneous Wireless Sensor Networks Based on 3D-Voronoi and K-Means Algorithm.

机构信息

College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China.

出版信息

Sensors (Basel). 2023 Jan 4;23(2):573. doi: 10.3390/s23020573.

DOI:10.3390/s23020573
PMID:36679368
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9867457/
Abstract

During these years, the 3D node coverage of heterogeneous wireless sensor networks that are closer to the actual application environment has become a strong focus of research. However, the direct application of traditional two-dimensional planar coverage methods to three-dimensional space suffers from high application complexity, a low coverage rate, and a short life cycle. Most methods ignore the network life cycle when considering coverage. The network coverage and life cycle determine the quality of service (QoS) in heterogeneous wireless sensor networks. Thus, energy-efficient coverage enhancement is a significantly pivotal and challenging task. To solve the above task, an energy-efficient coverage enhancement method, VKECE-3D, based on 3D-Voronoi partitioning and the K-means algorithm is proposed. The quantity of active nodes is kept to a minimum while guaranteeing coverage. Firstly, based on node deployment at random, the nodes are deployed twice using a highly destructive polynomial mutation strategy to improve the uniformity of the nodes. Secondly, the optimal perceptual radius is calculated using the K-means algorithm and 3D-Voronoi partitioning to enhance the network coverage quality. Finally, a multi-hop communication and polling working mechanism are proposed to lower the nodes' energy consumption and lengthen the network's lifetime. Its simulation findings demonstrate that compared to other energy-efficient coverage enhancement solutions, VKECE-3D improves network coverage and greatly lengthens the network's lifetime.

摘要

在这些年中,更接近实际应用环境的异构无线传感器网络的三维节点覆盖已成为研究的重点。然而,传统的二维平面覆盖方法直接应用于三维空间存在应用复杂性高、覆盖率低、生命周期短等问题。大多数方法在考虑覆盖范围时忽略了网络生命周期。网络覆盖范围和生命周期决定了异构无线传感器网络的服务质量(QoS)。因此,节能覆盖增强是一项非常重要和具有挑战性的任务。为了解决上述任务,提出了一种基于三维 Voronoi 分区和 K-means 算法的节能覆盖增强方法 VKECE-3D。在保证覆盖范围的同时,将活动节点的数量保持在最低水平。首先,基于节点的随机部署,使用高度破坏性的多项式变异策略对节点进行两次部署,以提高节点的均匀性。其次,使用 K-means 算法和三维 Voronoi 分区计算最优感知半径,以提高网络覆盖质量。最后,提出了一种多跳通信和轮询工作机制,以降低节点的能量消耗并延长网络的生命周期。仿真结果表明,与其他节能覆盖增强解决方案相比,VKECE-3D 提高了网络覆盖范围,并大大延长了网络的生命周期。

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