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Energy-Aware and Density-Based Clustering and Relaying Protocol (EA-DB-CRP) for gathering data in wireless sensor networks

机译:用于在无线传感器网络中收集数据的能量感知和基于密度的聚类和中继协议(EA-DB-CRP)

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In this paper, we propose a novel energy-aware and density-based clustering and routing protocol (EA-DB-CRP) for gathering data in wireless sensor networks which basically aims at distributing the load among available sensor nodes which in turn balances the energy consumption in the network and consequently elongates the network lifetime. More precisely, we introduce a network model that ends up of having empirical expressions that describe how to partition the network field efficiently into equal-size layers and sub-layers. In each sub-layer, the role of cluster head is pivoted among all cluster individuals, in a round robin fashion, that are sorted in a list in a descending order based on an extremely effective cluster head weight. Additionally, there are a minimum number of cluster members maintained to guarantee the feasibility of clusters being formed and this is through proposing a cluster merge algorithm. Not only to this extent, but rather, we maintain the consideration of network density over created clusters to balance them and subsequently prolong the network lifetime. Lastly, an effective relaying algorithm is proposed in which cluster heads get aware of those sensor nodes located in a layer ahead toward the base station along with their relay-node weights whereas each cluster head picks the relay node that has the highest weight. Our proposed protocol is evaluated through conducting various MATLAB simulations. Strikingly, results demonstrated that our proposed protocol has a momentous change against other related works regarding network lifetime and energy use. (C) 2019 Elsevier B.V. All rights reserved.
机译:在本文中,我们提出了一种新的能量感知和基于密度的聚类和路由协议(EA-DB-CRP),用于在无线传感器网络中收集数据,该数据基本上旨在在可用的传感器节点之间分配负载,这又均衡了能量的可用传感器节点网络中的消费并因此延长了网络寿命。更确切地说,我们介绍了一个网络模型,该模型最终有一个经验表达式,这些模型描述了如何有效地将网络字段分配成相等大小的层和子层。在每个子层中,群集头的作用在循环时代中的所有簇个体中枢转,基于极其有效的簇头重量以降序排序在列表中。另外,存在最小数量的集群成员以保证所形成的集群的可行性,这是通过提出群集合并算法。不仅在这种程度上,而是,我们保持对网络密度的考虑在创造的集群上以平衡它们,随后延长网络寿命。最后,提出了一种有效的中继算法,其中群集头来了解位于向基站的层的层中的那些传感器节点以及其继电器节点权重,而每个簇头拾取具有最高权重的中继节点。我们提出的协议是通过进行各种MATLAB模拟来评估的。令人惊讶的是,结果表明,我们的拟议议定书有关于网络终生和能源使用的其他相关工程的重大变化。 (c)2019年Elsevier B.V.保留所有权利。

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