基于中心点的无线传感器网络利奇路由协议的数学建模和比较评估

Et al. Dharmendra Yadav
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引用次数: 0

摘要

本研究评估了无线传感器网络(WSN)中 LEACH 和集中式 LEACH 增强版这两种关键路由协议的性能。研究设定了初始模拟参数,收集了多轮数据,并通过图表展示了结果。此外,它还与现有研究进行了对比分析。在 WSN 中,传输范围内的节点直接进行通信,而距离较远的节点则依靠中介进行通信。该研究引入了带有簇头的分层聚类,以提高网络效率。研究探讨了 LEACH,强调了它的两个阶段:建立阶段和稳定阶段。设置阶段包括在没有中央控制的情况下自主形成簇。簇头根据阈值选择,并公布其存在。然后,节点根据信号强度选择簇。TDMA 调度可优化数据传输。在稳态阶段,节点按照时间表向簇头发送数据。簇头之间节点分布不均可能导致数据负载变化。功率控制可最大限度地减少能量消耗,TDMA 调度可最大限度地提高带宽利用率。簇头将汇总数据转发给基站。论文包括一个详细说明通信组件的能量模型。研究结果为 LEACH 及其增强型变体提供了见解,为 WSN 中的高能效路由协议做出了贡献。
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Mathematical Modeling and Comparative Assessment of Centroid Based Leach Routing Protocol for Wireless Sensor Network
This research evaluates the performance of two key routing protocols, LEACH and an enhanced version of Centralized LEACH, in Wireless Sensor Networks (WSNs). The study sets initial simulation parameters, gathers data over numerous rounds, and presents results through diagrams. Additionally, it conducts a comparative analysis with existing research. In WSNs, nodes within transmission range communicate directly, while distant nodes rely on intermediaries. The study introduces hierarchical clustering with cluster heads for network efficiency. The number of cluster heads significantly impacts energy consumption .LEACH is explored, emphasizing its two phases: setup and steady-state. The setup phase involves autonomous cluster formation without central control. Cluster heads are selected based on thresholds and advertise their presence. Nodes then choose clusters based on signal strength. TDMA scheduling optimizes data transmission. In the steady-state phase, nodes follow a timetable to send data to cluster heads. Uneven node distribution among cluster heads may lead to varying data loads. Power control minimizes energy usage, and TDMA scheduling maximizes bandwidth use. Cluster heads forward aggregated data to the base station. The paper includes an energy model detailing communication components. Findings offer insights into LEACH and its enhanced variant, contributing to energy-efficient routing protocols in WSNs.
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