New Proposed Wireless Sensor Network Protocol for Internet of Things Applications

Zainab Mostafa Hashem, Hamdy H. El-Sayed, Mohamed Abo el-Hassan
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引用次数: 1

Abstract

: Modeling and constructing energy-efficient routing solutions to maximize the total network lifetime has become one of the most important techniques in wireless sensor networks (WSNs) due to the sensor nodes' limited hardware resources. In a distributed sensor network, cluster-based heterogeneous routing protocols, a common aspect of routing technology, have shown success in managing topology, energy consumption, data collection or fusion, reliability, or stability. This paper shows a new variation of Distributed Energy-Efficient Clustering (DEEC) protocol for WSNs, an energy-efficient three-level heterogeneous clustering method based on the DEEC protocol named Internet of Things DEEC (IoT-DEEC) protocol, is proposed. Unlike most other research, this considers the influence of the balanced thresholded sample in the energy consumption model. The current DEEC clustering protocol is enhanced by adding a threshold limit for cluster head selection and switching the power level across the nodes simultaneously. Our model is compared to Improved Distributed Energy Efficient Clustering (IDEEC) Protocol using MATLAB as a scenario based on quality metrics to measure network efficiencies such as the number of packets received by the base station (BS), overhead, packet delivery ratio, and throughput. After that, simulation results show that the suggested model is more efficient than the other protocol and substantially extends the sensor network lifetime.
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新提出的物联网应用无线传感器网络协议
由于传感器节点的硬件资源有限,建模和构造节能的路由解决方案以最大限度地延长网络总生存期已成为无线传感器网络(WSNs)中最重要的技术之一。在分布式传感器网络中,基于集群的异构路由协议(路由技术的一个常见方面)在管理拓扑、能耗、数据收集或融合、可靠性或稳定性方面取得了成功。本文提出了分布式节能聚类(DEEC)协议的一种新变体,即基于分布式节能聚类协议的物联网DEEC (IoT-DEEC)协议,提出了一种节能的三级异构聚类方法。与大多数其他研究不同,本研究考虑了能量消耗模型中平衡阈值样本的影响。当前的DEEC集群协议通过增加簇头选择的阈值限制和同时在节点间切换功率水平来增强。我们的模型使用MATLAB作为基于质量指标的场景与改进的分布式能效聚类(IDEEC)协议进行比较,以衡量网络效率,例如基站(BS)接收的数据包数量、开销、数据包传送率和吞吐量。之后的仿真结果表明,该模型比其他协议更有效,并大大延长了传感器网络的生存期。
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