A cloud of UAVs for the Delivery of a Sink As A Service to Terrestrial WSNs

Soumaya Bel Hadj Youssef, S. Rekhis, N. Boudriga, A. Bagula
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引用次数: 7

Abstract

One of the primary tasks of wireless sensor networks (WSNs) is the collection of data from a field of interest. However, in practice, maintaining a total connectivity between sensors is not always possible, and sensors may be scattered along the sensing area, forming a set of isolated cluster of nodes that are unable to deliver the collected data. In this paper, we provide a three-layer based cloud architecture, showing the use of a network of drone quadcopters for the delivery of a Sink As A Service to terrestrial mobile sensor nodes. The set of quadcopters are in charge of coordinating their movement to collect data from terrestrial cluster heads (local data collectors) and cooperate together to relay these data to the nearest base station. As the used number of terrestrial collectors (i.e., clusters heads) has a great impact on the data delivery delay and also on the energy consumption of the quadcopters, we develop an analytical model that allows determining the optimal number of terrestrial clusters of sensors. A numerical analysis is conducted to assess the variation of the optimal values of clusters' width, delivery delay, and consumer energy, with respect to the quadcopters speed, the network throughput, and the total number of sensors.
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为地面无线传感器网络提供接收器即服务的无人机云
无线传感器网络(wsn)的主要任务之一是从感兴趣的领域收集数据。然而,在实践中,传感器之间并不总是能够保持完全的连通性,传感器可能分散在传感区域,形成一组孤立的节点集群,无法传递收集到的数据。在本文中,我们提供了一个基于三层的云架构,展示了使用无人机四轴飞行器网络向地面移动传感器节点提供Sink As a Service。这组四轴飞行器负责协调它们的运动,从地面群集头(本地数据收集器)收集数据,并共同合作将这些数据中继到最近的基站。由于地面收集器(即簇头)的使用数量对数据传输延迟和四轴飞行器的能量消耗有很大影响,因此我们开发了一个分析模型,可以确定地面传感器簇的最佳数量。通过数值分析,评估了四轴飞行器速度、网络吞吐量和传感器总数对集群宽度、传输延迟和消耗能量的最优值的影响。
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