Energy Efficient Clustering-based Routing Protocol Adopting Enhanced Cluster Formation (EERRCUF) Protocol in Hybrid Wireless Sensor Networks*

Nirmala Hiremani, T. Basavaraju
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引用次数: 1

Abstract

Wireless Sensor Networks is one such domains where lot of researches and development works have been carried out to enable powerful sensor nodes are available at low cost. Now a day, the Hybrid Wireless Sensor Networks have attracted the researchers to focus on communication difficulty between Static Sensor Networks (SSN) to Mobile Sensor Networks (MSN). In this paper energy efficient cluster based routing protocol adopting enhanced cluster formation (EERRCUF) protocol is introduced for the applications like HWSNs. Initially we perform the effective clustering process using Particle Swarm Optimization (PSO) for grouping the nodes according to the geolocation properties. By using PSO all the nodes will cluster without residual nodes, subsequently the cluster head (CH) and super CH based on the trusted valued of each node computed by the Differential Evolution based Trust Inference (DETI) model. Then, an inter-cluster routing is performed by Gravitational Search Algorithm (GSA). The simulation results showed effectiveness of our EERRCUF protocol in terms of Quality of Service (QoS) constraints such as throughput, delay, energy consumption; Quality of Experience (QoE) constraints such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Video Quality Measurement (VQM).
基于增强簇形成(EERRCUF)协议的混合无线传感器网络节能聚类路由协议*
无线传感器网络就是这样一个领域,为了使功能强大的传感器节点能够以低成本获得,人们进行了大量的研究和开发工作。静态传感器网络(SSN)与移动传感器网络(MSN)之间的通信问题日益受到研究人员的关注。本文针对HWSNs等应用,提出了一种采用增强簇形成(EERRCUF)协议的节能簇路由协议。首先,我们使用粒子群算法(PSO)根据地理位置属性对节点进行分组,从而实现有效的聚类过程。利用粒子群算法对所有节点进行无残差聚类,然后根据基于差分进化的信任推理(DETI)模型计算的每个节点的可信值计算簇头(CH)和超CH。然后,利用引力搜索算法(GSA)进行集群间路由。仿真结果表明,EERRCUF协议在吞吐量、延迟、能耗等服务质量(QoS)约束方面是有效的;体验质量(QoE)约束,如峰值信噪比(PSNR)、结构相似性指数(SSIM)和视频质量测量(VQM)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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