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A Study of Routing Protocols and A Hybrid Routing Protocol Based on Rapid Spanning Tree and Cluster Head Routing in Wireless Sensor Networks

机译:基于无线传感器网络中快速生成树和簇头路由的路由协议与混合路由协议的研究

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Wireless Sensor Networks (WSNs) consist of small nodes with sensing, computation, and wireless communication capabilities. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. The focus, however, has been given to the routing protocols which might differ depending on the application and network architecture. In this paper, we present a survey of the state-of-the-art routing technique and a novel energy efficient hybrid routing protocol based on Rapid Spanning Tree and Cluster Head Routing. We first outline the design challenges for routing protocols in WSNs followed by a comprehensive survey of different routing techniques. Overall, the routing techniques are classified into four categories based on the underlying network structure: Data centric, hierarchical, location based and Quality of Service (QoS) based. Further, ManyToOne - A hybrid protocol based on Rapid Spanning Tree (RST) and Cluster Head Routing (CHR) uses clustering, which includes partitioning stage and choosing stage, namely, partitions the multi-hop network and then chooses cluster-heads; cluster-head is responsible for receiving, sending and maintaining information in its cluster. Then all cluster-heads will construct a Rapid spanning tree to prolong network lifetime, save energy and shorten path. RST provides faster spanning tree convergence after a topology change, thereby minimizing the energy consumed.
机译:无线传感器网络(WSN)由具有感测,计算和无线通信功能的小节点组成。许多路由,电源管理和数据传播协议专门为WSN设计,其中能量意识是重要的设计问题。然而,已经给出了可能因应用程序和网络架构而异的路由协议的焦点。在本文中,我们展示了一种基于快速生成树和簇头路由的最先进的路由技术和新型节能混合路由协议的调查。我们首先概述WSN中的路由协议的设计挑战,然后是对不同路由技术的全面调查。总的来说,路由技术基于基于底层网络结构的四个类别:基于数据中心,分层,基于服务质量(QoS)。此外,许多基于快速生成树(RST)和簇头路由(CHR)的混合协议使用群集,包括分区阶段和选择阶段,即,分区多跳网络,然后选择群集头; Cluster-Head负责在其集群中接收,发送和维护信息。然后,所有群集头都将构建一个快速生成树以延长网络生命周期,节省能量和缩短路径。 RST在拓扑变化后提供更快的生成树收敛,从而最大限度地减少消耗的能量。

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