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Energy-aware Routing Algorithm for DTN-Nanosatellite Networks

机译:DTN-NanoSatellite网络的能量感知路由算法

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Satellite constellations are envisioned as meaningful transport networks to forward data throughout the world. Low Earth Orbit (LEO) satellites are the most appealing for this purpose due to their low altitude which allows guaranteeing certain performance, especially in terms of delivery time. Mega-constellation of small LEO satellites (micro- and nano-satellites) are planned to be employed to cover the entire Earth's surface. However, these satellites have several constraints which affect the data forwarding process and have to be taken into account. Energy is one of these constrained resources. Energy storage and recharge are limited by the reduced battery capacity and solar panel surface area, while telecommunication hardware energy consumption is considerable especially in case of high traffic volumes. In this paper, we propose a novel energy-aware routing algorithm based on the Contact Graph Routing (CGR) called E-CGR. E-CGR exploits static and known a priori information about contacts (begin times, end times, and overall contact volumes) to compute complete routing paths from source to destination which are then validated and confirmed from the energy viewpoint.
机译:卫星星座被设想为在全球范围内转发数据的有意义的运输网络。由于其低海拔高度,低地球轨道(LEO)卫星是最吸引人的目的,这允许保证某些性能,特别是在交货时间方面。计划采用小型Leo卫星(微型和纳米卫星)的Mega - 星座,以覆盖整个地球表面。但是,这些卫星具有几个影响数据转发过程的约束,并且必须考虑到数据转发过程。能量是这些约束资源之一。能量存储和充电受电池容量和太阳能电池板表面积的限制,而电信硬件能量消耗特别适用于高流量体积。在本文中,我们提出了一种基于COLTAL图路由(CGR)的新型能量感知路由算法(CGR)。 E-CGR利用静态和已知关于联系人(开始时间,结束时间和总体触点卷)的先验信息,以将来自源的完整路径从源视图计算,然后从能量观点验证和确认。

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