基于时隙传输的多路由聚类协议的无线传感器网络动态路径选择能耗评估

M. Prakash , J. Abinesh , P. Malarvizhi , J. Jeba Emilyn , A. Sam Thamburaj , D. Vinod Kumar
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引用次数: 0

摘要

无线传感器网络(WSNs)是一项前沿技术,可用于许多需要关键信息的领域。然而,有限的资源约束、上下文连接和生命周期需求促使设计人员寻求更有效的WSN基础设施。无线传感器网络(WSN)信息转向过程中传感器集线器能量利用的不平衡。因此,远程传感器网络配置的主要困难之一是限制传感器集线器的能量利用。因此,为了有效利用传感器节点有限的能量,设计了许多路由方案。这些方案通常使用低功率路径来传输数据。事实证明,在给定网络生命周期的情况下,使用相同的路径是次优的。为了克服这一问题,提出了一种采用时隙传输多路由聚类协议(MRCP-TTDPS)的动态路径选择方法。它在路径选择上消耗能量。在第一步中,通过配置多路径路由来检测路径质量,因此该方法使用MPRS (multipath Optimized routing)发送高质量的路径数据。第二阶段使用基于聚类的最优路径选择(CORS)来建立最佳能量路径。第三阶段发展能源消费模型。具有最值得注意的剩余能量的集线器数量被选为每轮的组顶。每个标准的轮毂都加入了一个由令人筋疲力尽的一群人组成的群体。每个传感器集线器在每一轮中将识别的信息发送给束头。组头将数据发送到基站。结果表明,该模型在路径识别器能量利用率和路径质量方面优于路径模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating Energy Consumption for Routing Selection using the Multi-Routing Clustering Protocol using Timeslot Transmission in Dynamic Path Selection in Wireless Sensor Networks
Wireless sensor networks (WSNs) are cutting-edge technology that can be used in many fields requiring critical information. However, limited resource constraints, contextual connectivity, and lifecycle requirements drive designers to seek more efficient WSN infrastructures. Unbalanced energy utilization of sensor hubs during information steering in Wireless Sensor Networks (WSN). Accordingly, one of the principal configuration difficulties of remote sensor networks is to limit the energy utilization of sensor hubs. Therefore, many routing schemes are designed to efficiently utilize sensor nodes’ limited Energy. These schemes generally use low-power paths to transmit data. It turns out that using the same path is suboptimal given the network lifetime. To overcome this problem, a new method is introduced that uses a Multi-Route Clustering Protocol Using Timeslot Transmission (MRCP-TTDPS) with dynamic path selection. It consumes Energy on path selection. In the first step, multipath routing is configured to detect path quality, so this method uses Multipath Optimized Routing (MPRS) to send high-quality path data. The second stage uses Cluster-Based Optimal Path Selection (CORS) to establish the best energy path. The third stage develops energy consumption models. The amount of the hubs with the most noteworthy leftover Energy is chosen as the group top of each round. Every standard hub partakes in a group framed by neigh exhausting bunch heads. Every sensor hub sends identified information to the bunch head in each round. The group head sends the data to the base station. The results show that the model is better than the path model regarding path identifier energy utilization and path quality.
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