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Tree based distributed clustering routing scheme for energy efficiency in wireless sensor networks

机译:基于树的分布式集群路由方案,提高无线传感器网络的能效

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The energy efficiency the most important and vital performance metrics of wireless sensor networks (WSNs) as the lifetime of battery is limited. Energy efficiency helps in deciding the long running WSNs functionality. There are different solutions have been presented for energy efficiency based on hardware and software. However, particularly clustering based routing algorithms are most promising approaches and hence studied extensively for energy efficiency and load balancing. The existing clustering methods having drawbacks like cluster heads suffered from excessive energy consumption due to all loads on it, therefore this can be later overcome by placing the gateways in WSNs which can acts cluster head with more energy sources in it. However with use only gateways with clustering again imposing limitation of energy consumption as gateways are also battery operated as well as load balancing is not addressed. In this paper, aim is to design and simulate novel tree based distributed for energy efficiency and data aggregation in WSNs. The proposed method is composed of three main steps such as hop tree building from source node to the destination sensor node, then cluster head selection and cluster formation. Finally the efficient and reliable route setup for data transmission is presented. The working of proposed algorithm is based on existing SPT (shortest path tree) routing method. The experimental evaluation of proposed method is done using NS2. The simulation results claims that proposed method is outperforming the existing energy efficient routing solutions.
机译:能源效率是无线传感器网络(WSN)最重要和至关重要的性能指标,它的电池寿命受到限制。能源效率有助于确定长期运行的WSN功能。已经提出了基于硬件和软件的不同的能效解决方案。但是,尤其是基于群集的路由算法是最有前途的方法,因此已针对能量效率和负载平衡进行了广泛研究。现有的具有诸如群集头之类的缺点的群集方法由于其上的所有负载而遭受过多的能量消耗,因此可以通过将网关放置在WSN中来克服该问题,该网关可以充当其中具有更多能量源的群集头。然而,仅在使用网关的情况下才具有集群性,这再次限制了能耗,因为网关也是电池供电的,并且未解决负载平衡问题。本文旨在设计和仿真基于树的新型分布式网络,以实现无线传感器网络中的能效和数据聚合。所提出的方法由三个主要步骤组成,例如从源节点到目标传感器节点的跳树构建,簇头选择和簇形成。最后,介绍了用于数据传输的高效可靠的路由设置。该算法的工作是基于现有的SPT(最短路径树)路由方法。该方法的实验评估是使用NS2进行的。仿真结果表明,所提出的方法优于现有的节能路由解决方案。

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