无线传感器网络动态能量感知路由协议

Mahamadi Boulou, Tiguiane Yélémou, Doda Afoussatou Rollande, Hamadoun Tall
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引用次数: 2

摘要

传感器网络是一组传感器节点的集合,用于将多跳数据传输到一个或多个接收器。无线传感器网络(WSN)广泛应用于智慧城市、环境监测、精准农业等领域。一旦部署,无线传感器网络在重新配置方面是非常严格的。为了方便WSN节点的重构,研究了软件定义网络(SDN)技术。已经提出了几种体系结构,其中包括SDN-WISE。SDN-WISE采用集中式路由模型,将传感器节点执行的数据平面和控制器中托管的软件程序执行的控制平面分开。在SDN-WISE中,就跳数而言,数据传输路径选择是最好的路由。SND-WISE的改进变体使用其他指标,如节点能量,但这些方法的问题是,在路径更改过程启动之前,选择的路径将一直使用,直到其中一个节点耗尽其能量。这会影响网络的效率,降低网络的寿命。在这项工作中,我们提出了动态能量感知路由协议(DEARP),该协议监测节点的剩余能量以做出路由决策。这将防止压力最大的路径上的节点迅速耗尽其能量,而剩余能量更高的节点可以使用其他路径。我们的方法通过防止大多数压力节点更快地耗尽来优化WSN的生命周期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DEARP: Dynamic Energy Aware Routing Protocol for Wireless Sensor Network
Sensor network is a set of sensors nodes brought together for multi-hop data transmission to one or more sinks. Wireless sensor networks (WSN) are used in many areas such as smart cities, environmental monitoring, precision agriculture. Once deployed, WSNs are very rigid in terms of reconfiguration. Sofware-Defined Networking (SDN) technology is explored in order to facilitate reconfiguration of WSN nodes. Several architectures have been proposed, among which SDN-WISE. SDN-WISE uses centralized routing model which separates data plane executed by the sensor nodes and the control plane executed by a software program hosted in a controller. In SDN-WISE, data transmission path choice is the best route in terms of the number of hops. Improved variants of SND-WISE use other metrics such as node energy, but the problem with these approaches is that a chosen path is used until one of its nodes depletes its energy before a path change process is initiated. This impacts efficiency of the network and reduces life of the network. In this work, we propose Dynamic Energy Aware Routing Protocol (DEARP) that monitors residual energy of nodes in order to make routing decisions. This will prevent nodes on most stressed paths from running out of its energy quickly while other paths with nodes with higher residual energies could be used. Our approach optimizes lifetime of WSN by preventing most stressed nodes from running out sooner.
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